Training in progress, step 28000, checkpoint
Browse files
    	
        checkpoint-28000/config.json
    ADDED
    
    | @@ -0,0 +1,25 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "annotation_transformer": false,
         | 
| 3 | 
            +
              "architectures": [
         | 
| 4 | 
            +
                "CAMP"
         | 
| 5 | 
            +
              ],
         | 
| 6 | 
            +
              "diff": false,
         | 
| 7 | 
            +
              "dropout": 0.05,
         | 
| 8 | 
            +
              "hidden_dim": 640,
         | 
| 9 | 
            +
              "input_dim": 384,
         | 
| 10 | 
            +
              "intermediate_dim": 2560,
         | 
| 11 | 
            +
              "kernel_size": 11,
         | 
| 12 | 
            +
              "latent": false,
         | 
| 13 | 
            +
              "mlm": false,
         | 
| 14 | 
            +
              "mnr": false,
         | 
| 15 | 
            +
              "model_type": "CAMP",
         | 
| 16 | 
            +
              "nhead": 8,
         | 
| 17 | 
            +
              "nlp_path": "allenai/scibert_scivocab_uncased",
         | 
| 18 | 
            +
              "num_hidden_layers": 1,
         | 
| 19 | 
            +
              "out_dim": 512,
         | 
| 20 | 
            +
              "plm_path": "facebook/esm2_t33_650m_UR50D",
         | 
| 21 | 
            +
              "pooling": "avg",
         | 
| 22 | 
            +
              "token": null,
         | 
| 23 | 
            +
              "torch_dtype": "bfloat16",
         | 
| 24 | 
            +
              "transformers_version": "4.41.2"
         | 
| 25 | 
            +
            }
         | 
    	
        checkpoint-28000/model.safetensors
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:9128026430b7cdb09927545bb4f5fda8f6e531cf47e555839b33d798d6857108
         | 
| 3 | 
            +
            size 1570427506
         | 
    	
        checkpoint-28000/trainer_state.json
    ADDED
    
    | @@ -0,0 +1,2301 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "best_metric": null,
         | 
| 3 | 
            +
              "best_model_checkpoint": null,
         | 
| 4 | 
            +
              "epoch": 0.6271558482282847,
         | 
| 5 | 
            +
              "eval_steps": 1000,
         | 
| 6 | 
            +
              "global_step": 28000,
         | 
| 7 | 
            +
              "is_hyper_param_search": false,
         | 
| 8 | 
            +
              "is_local_process_zero": true,
         | 
| 9 | 
            +
              "is_world_process_zero": true,
         | 
| 10 | 
            +
              "log_history": [
         | 
| 11 | 
            +
                {
         | 
| 12 | 
            +
                  "epoch": 0.002239842315101017,
         | 
| 13 | 
            +
                  "grad_norm": 71.10852813720703,
         | 
| 14 | 
            +
                  "learning_rate": 0.0001,
         | 
| 15 | 
            +
                  "loss": 3.5057,
         | 
| 16 | 
            +
                  "step": 100
         | 
| 17 | 
            +
                },
         | 
| 18 | 
            +
                {
         | 
| 19 | 
            +
                  "epoch": 0.004479684630202034,
         | 
| 20 | 
            +
                  "grad_norm": 57.756534576416016,
         | 
| 21 | 
            +
                  "learning_rate": 9.9998756572327e-05,
         | 
| 22 | 
            +
                  "loss": 0.8254,
         | 
| 23 | 
            +
                  "step": 200
         | 
| 24 | 
            +
                },
         | 
| 25 | 
            +
                {
         | 
| 26 | 
            +
                  "epoch": 0.006719526945303051,
         | 
| 27 | 
            +
                  "grad_norm": 44.61080551147461,
         | 
| 28 | 
            +
                  "learning_rate": 9.999502635115246e-05,
         | 
| 29 | 
            +
                  "loss": 0.6935,
         | 
| 30 | 
            +
                  "step": 300
         | 
| 31 | 
            +
                },
         | 
| 32 | 
            +
                {
         | 
| 33 | 
            +
                  "epoch": 0.008959369260404068,
         | 
| 34 | 
            +
                  "grad_norm": 50.82619094848633,
         | 
| 35 | 
            +
                  "learning_rate": 9.998880952200681e-05,
         | 
| 36 | 
            +
                  "loss": 0.5972,
         | 
| 37 | 
            +
                  "step": 400
         | 
| 38 | 
            +
                },
         | 
| 39 | 
            +
                {
         | 
| 40 | 
            +
                  "epoch": 0.011199211575505085,
         | 
| 41 | 
            +
                  "grad_norm": 44.26677703857422,
         | 
| 42 | 
            +
                  "learning_rate": 9.998010639409713e-05,
         | 
| 43 | 
            +
                  "loss": 0.5408,
         | 
| 44 | 
            +
                  "step": 500
         | 
| 45 | 
            +
                },
         | 
| 46 | 
            +
                {
         | 
| 47 | 
            +
                  "epoch": 0.013439053890606102,
         | 
| 48 | 
            +
                  "grad_norm": 42.8045654296875,
         | 
| 49 | 
            +
                  "learning_rate": 9.996891740029186e-05,
         | 
| 50 | 
            +
                  "loss": 0.5509,
         | 
| 51 | 
            +
                  "step": 600
         | 
| 52 | 
            +
                },
         | 
| 53 | 
            +
                {
         | 
| 54 | 
            +
                  "epoch": 0.01567889620570712,
         | 
| 55 | 
            +
                  "grad_norm": 30.989139556884766,
         | 
| 56 | 
            +
                  "learning_rate": 9.995524309709913e-05,
         | 
| 57 | 
            +
                  "loss": 0.4823,
         | 
| 58 | 
            +
                  "step": 700
         | 
| 59 | 
            +
                },
         | 
| 60 | 
            +
                {
         | 
| 61 | 
            +
                  "epoch": 0.017918738520808136,
         | 
| 62 | 
            +
                  "grad_norm": 34.01952362060547,
         | 
| 63 | 
            +
                  "learning_rate": 9.993908416463927e-05,
         | 
| 64 | 
            +
                  "loss": 0.5111,
         | 
| 65 | 
            +
                  "step": 800
         | 
| 66 | 
            +
                },
         | 
| 67 | 
            +
                {
         | 
| 68 | 
            +
                  "epoch": 0.020158580835909153,
         | 
| 69 | 
            +
                  "grad_norm": 34.079307556152344,
         | 
| 70 | 
            +
                  "learning_rate": 9.992044140661079e-05,
         | 
| 71 | 
            +
                  "loss": 0.4635,
         | 
| 72 | 
            +
                  "step": 900
         | 
| 73 | 
            +
                },
         | 
| 74 | 
            +
                {
         | 
| 75 | 
            +
                  "epoch": 0.02239842315101017,
         | 
| 76 | 
            +
                  "grad_norm": 26.16071128845215,
         | 
| 77 | 
            +
                  "learning_rate": 9.989931575025056e-05,
         | 
| 78 | 
            +
                  "loss": 0.4883,
         | 
| 79 | 
            +
                  "step": 1000
         | 
| 80 | 
            +
                },
         | 
| 81 | 
            +
                {
         | 
| 82 | 
            +
                  "epoch": 0.02239842315101017,
         | 
| 83 | 
            +
                  "eval_avg_non_pair_similarity": 0.0020343252948339737,
         | 
| 84 | 
            +
                  "eval_avg_pair_similarity": 0.008852629057131708,
         | 
| 85 | 
            +
                  "eval_loss": 0.5431402921676636,
         | 
| 86 | 
            +
                  "eval_runtime": 19.6178,
         | 
| 87 | 
            +
                  "eval_samples_per_second": 25.487,
         | 
| 88 | 
            +
                  "eval_similarity_ratio": 4.35162905343228,
         | 
| 89 | 
            +
                  "eval_steps_per_second": 0.816,
         | 
| 90 | 
            +
                  "step": 1000
         | 
| 91 | 
            +
                },
         | 
| 92 | 
            +
                {
         | 
| 93 | 
            +
                  "epoch": 0.024638265466111187,
         | 
| 94 | 
            +
                  "grad_norm": 35.38695526123047,
         | 
| 95 | 
            +
                  "learning_rate": 9.987570824628759e-05,
         | 
| 96 | 
            +
                  "loss": 0.4655,
         | 
| 97 | 
            +
                  "step": 1100
         | 
| 98 | 
            +
                },
         | 
| 99 | 
            +
                {
         | 
| 100 | 
            +
                  "epoch": 0.026878107781212204,
         | 
| 101 | 
            +
                  "grad_norm": 32.071346282958984,
         | 
| 102 | 
            +
                  "learning_rate": 9.984962006889084e-05,
         | 
| 103 | 
            +
                  "loss": 0.4342,
         | 
| 104 | 
            +
                  "step": 1200
         | 
| 105 | 
            +
                },
         | 
| 106 | 
            +
                {
         | 
| 107 | 
            +
                  "epoch": 0.029117950096313218,
         | 
| 108 | 
            +
                  "grad_norm": 39.6610221862793,
         | 
| 109 | 
            +
                  "learning_rate": 9.982105251561082e-05,
         | 
| 110 | 
            +
                  "loss": 0.458,
         | 
| 111 | 
            +
                  "step": 1300
         | 
| 112 | 
            +
                },
         | 
| 113 | 
            +
                {
         | 
| 114 | 
            +
                  "epoch": 0.03135779241141424,
         | 
| 115 | 
            +
                  "grad_norm": 31.493322372436523,
         | 
| 116 | 
            +
                  "learning_rate": 9.979000700731491e-05,
         | 
| 117 | 
            +
                  "loss": 0.4525,
         | 
| 118 | 
            +
                  "step": 1400
         | 
| 119 | 
            +
                },
         | 
| 120 | 
            +
                {
         | 
| 121 | 
            +
                  "epoch": 0.03359763472651525,
         | 
| 122 | 
            +
                  "grad_norm": 34.453399658203125,
         | 
| 123 | 
            +
                  "learning_rate": 9.975648508811693e-05,
         | 
| 124 | 
            +
                  "loss": 0.41,
         | 
| 125 | 
            +
                  "step": 1500
         | 
| 126 | 
            +
                },
         | 
| 127 | 
            +
                {
         | 
| 128 | 
            +
                  "epoch": 0.03583747704161627,
         | 
| 129 | 
            +
                  "grad_norm": 33.990074157714844,
         | 
| 130 | 
            +
                  "learning_rate": 9.972048842530012e-05,
         | 
| 131 | 
            +
                  "loss": 0.4097,
         | 
| 132 | 
            +
                  "step": 1600
         | 
| 133 | 
            +
                },
         | 
| 134 | 
            +
                {
         | 
| 135 | 
            +
                  "epoch": 0.038077319356717286,
         | 
| 136 | 
            +
                  "grad_norm": 30.44228172302246,
         | 
| 137 | 
            +
                  "learning_rate": 9.968201880923439e-05,
         | 
| 138 | 
            +
                  "loss": 0.4257,
         | 
| 139 | 
            +
                  "step": 1700
         | 
| 140 | 
            +
                },
         | 
| 141 | 
            +
                {
         | 
| 142 | 
            +
                  "epoch": 0.040317161671818307,
         | 
| 143 | 
            +
                  "grad_norm": 31.427162170410156,
         | 
| 144 | 
            +
                  "learning_rate": 9.964107815328711e-05,
         | 
| 145 | 
            +
                  "loss": 0.3821,
         | 
| 146 | 
            +
                  "step": 1800
         | 
| 147 | 
            +
                },
         | 
| 148 | 
            +
                {
         | 
| 149 | 
            +
                  "epoch": 0.04255700398691932,
         | 
| 150 | 
            +
                  "grad_norm": 25.877887725830078,
         | 
| 151 | 
            +
                  "learning_rate": 9.959766849372808e-05,
         | 
| 152 | 
            +
                  "loss": 0.3788,
         | 
| 153 | 
            +
                  "step": 1900
         | 
| 154 | 
            +
                },
         | 
| 155 | 
            +
                {
         | 
| 156 | 
            +
                  "epoch": 0.04479684630202034,
         | 
| 157 | 
            +
                  "grad_norm": 25.36798095703125,
         | 
| 158 | 
            +
                  "learning_rate": 9.955179198962817e-05,
         | 
| 159 | 
            +
                  "loss": 0.3854,
         | 
| 160 | 
            +
                  "step": 2000
         | 
| 161 | 
            +
                },
         | 
| 162 | 
            +
                {
         | 
| 163 | 
            +
                  "epoch": 0.04479684630202034,
         | 
| 164 | 
            +
                  "eval_avg_non_pair_similarity": 0.0016289287904792565,
         | 
| 165 | 
            +
                  "eval_avg_pair_similarity": 0.0032495629731565715,
         | 
| 166 | 
            +
                  "eval_loss": 0.4394480586051941,
         | 
| 167 | 
            +
                  "eval_runtime": 19.5064,
         | 
| 168 | 
            +
                  "eval_samples_per_second": 25.633,
         | 
| 169 | 
            +
                  "eval_similarity_ratio": 1.9949079371360972,
         | 
| 170 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 171 | 
            +
                  "step": 2000
         | 
| 172 | 
            +
                },
         | 
| 173 | 
            +
                {
         | 
| 174 | 
            +
                  "epoch": 0.047036688617121354,
         | 
| 175 | 
            +
                  "grad_norm": 24.537384033203125,
         | 
| 176 | 
            +
                  "learning_rate": 9.950345092275198e-05,
         | 
| 177 | 
            +
                  "loss": 0.3886,
         | 
| 178 | 
            +
                  "step": 2100
         | 
| 179 | 
            +
                },
         | 
| 180 | 
            +
                {
         | 
| 181 | 
            +
                  "epoch": 0.049276530932222375,
         | 
| 182 | 
            +
                  "grad_norm": 26.4981632232666,
         | 
| 183 | 
            +
                  "learning_rate": 9.945264769744431e-05,
         | 
| 184 | 
            +
                  "loss": 0.3926,
         | 
| 185 | 
            +
                  "step": 2200
         | 
| 186 | 
            +
                },
         | 
| 187 | 
            +
                {
         | 
| 188 | 
            +
                  "epoch": 0.05151637324732339,
         | 
| 189 | 
            +
                  "grad_norm": 40.585941314697266,
         | 
| 190 | 
            +
                  "learning_rate": 9.939938484051063e-05,
         | 
| 191 | 
            +
                  "loss": 0.3796,
         | 
| 192 | 
            +
                  "step": 2300
         | 
| 193 | 
            +
                },
         | 
| 194 | 
            +
                {
         | 
| 195 | 
            +
                  "epoch": 0.05375621556242441,
         | 
| 196 | 
            +
                  "grad_norm": 26.374149322509766,
         | 
| 197 | 
            +
                  "learning_rate": 9.934366500109132e-05,
         | 
| 198 | 
            +
                  "loss": 0.3723,
         | 
| 199 | 
            +
                  "step": 2400
         | 
| 200 | 
            +
                },
         | 
| 201 | 
            +
                {
         | 
| 202 | 
            +
                  "epoch": 0.05599605787752542,
         | 
| 203 | 
            +
                  "grad_norm": 31.54728126525879,
         | 
| 204 | 
            +
                  "learning_rate": 9.928549095053001e-05,
         | 
| 205 | 
            +
                  "loss": 0.3639,
         | 
| 206 | 
            +
                  "step": 2500
         | 
| 207 | 
            +
                },
         | 
| 208 | 
            +
                {
         | 
| 209 | 
            +
                  "epoch": 0.058235900192626436,
         | 
| 210 | 
            +
                  "grad_norm": 26.00455093383789,
         | 
| 211 | 
            +
                  "learning_rate": 9.922486558223567e-05,
         | 
| 212 | 
            +
                  "loss": 0.3387,
         | 
| 213 | 
            +
                  "step": 2600
         | 
| 214 | 
            +
                },
         | 
| 215 | 
            +
                {
         | 
| 216 | 
            +
                  "epoch": 0.060475742507727456,
         | 
| 217 | 
            +
                  "grad_norm": 23.684057235717773,
         | 
| 218 | 
            +
                  "learning_rate": 9.916179191153873e-05,
         | 
| 219 | 
            +
                  "loss": 0.3494,
         | 
| 220 | 
            +
                  "step": 2700
         | 
| 221 | 
            +
                },
         | 
| 222 | 
            +
                {
         | 
| 223 | 
            +
                  "epoch": 0.06271558482282848,
         | 
| 224 | 
            +
                  "grad_norm": 24.034656524658203,
         | 
| 225 | 
            +
                  "learning_rate": 9.909627307554108e-05,
         | 
| 226 | 
            +
                  "loss": 0.362,
         | 
| 227 | 
            +
                  "step": 2800
         | 
| 228 | 
            +
                },
         | 
| 229 | 
            +
                {
         | 
| 230 | 
            +
                  "epoch": 0.06495542713792948,
         | 
| 231 | 
            +
                  "grad_norm": 31.07891082763672,
         | 
| 232 | 
            +
                  "learning_rate": 9.902831233296009e-05,
         | 
| 233 | 
            +
                  "loss": 0.3481,
         | 
| 234 | 
            +
                  "step": 2900
         | 
| 235 | 
            +
                },
         | 
| 236 | 
            +
                {
         | 
| 237 | 
            +
                  "epoch": 0.0671952694530305,
         | 
| 238 | 
            +
                  "grad_norm": 24.183626174926758,
         | 
| 239 | 
            +
                  "learning_rate": 9.895791306396644e-05,
         | 
| 240 | 
            +
                  "loss": 0.3535,
         | 
| 241 | 
            +
                  "step": 3000
         | 
| 242 | 
            +
                },
         | 
| 243 | 
            +
                {
         | 
| 244 | 
            +
                  "epoch": 0.0671952694530305,
         | 
| 245 | 
            +
                  "eval_avg_non_pair_similarity": -0.0007878901720614375,
         | 
| 246 | 
            +
                  "eval_avg_pair_similarity": -0.008789425778668375,
         | 
| 247 | 
            +
                  "eval_loss": 0.4187028110027313,
         | 
| 248 | 
            +
                  "eval_runtime": 19.4839,
         | 
| 249 | 
            +
                  "eval_samples_per_second": 25.662,
         | 
| 250 | 
            +
                  "eval_similarity_ratio": 11.155648452463497,
         | 
| 251 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 252 | 
            +
                  "step": 3000
         | 
| 253 | 
            +
                },
         | 
| 254 | 
            +
                {
         | 
| 255 | 
            +
                  "epoch": 0.06943511176813152,
         | 
| 256 | 
            +
                  "grad_norm": 20.178213119506836,
         | 
| 257 | 
            +
                  "learning_rate": 9.888507877001616e-05,
         | 
| 258 | 
            +
                  "loss": 0.3375,
         | 
| 259 | 
            +
                  "step": 3100
         | 
| 260 | 
            +
                },
         | 
| 261 | 
            +
                {
         | 
| 262 | 
            +
                  "epoch": 0.07167495408323254,
         | 
| 263 | 
            +
                  "grad_norm": 31.757244110107422,
         | 
| 264 | 
            +
                  "learning_rate": 9.880981307367627e-05,
         | 
| 265 | 
            +
                  "loss": 0.3489,
         | 
| 266 | 
            +
                  "step": 3200
         | 
| 267 | 
            +
                },
         | 
| 268 | 
            +
                {
         | 
| 269 | 
            +
                  "epoch": 0.07391479639833355,
         | 
| 270 | 
            +
                  "grad_norm": 27.889982223510742,
         | 
| 271 | 
            +
                  "learning_rate": 9.873211971844477e-05,
         | 
| 272 | 
            +
                  "loss": 0.3463,
         | 
| 273 | 
            +
                  "step": 3300
         | 
| 274 | 
            +
                },
         | 
| 275 | 
            +
                {
         | 
| 276 | 
            +
                  "epoch": 0.07615463871343457,
         | 
| 277 | 
            +
                  "grad_norm": 23.282093048095703,
         | 
| 278 | 
            +
                  "learning_rate": 9.865200256856437e-05,
         | 
| 279 | 
            +
                  "loss": 0.3235,
         | 
| 280 | 
            +
                  "step": 3400
         | 
| 281 | 
            +
                },
         | 
| 282 | 
            +
                {
         | 
| 283 | 
            +
                  "epoch": 0.07839448102853559,
         | 
| 284 | 
            +
                  "grad_norm": 24.573863983154297,
         | 
| 285 | 
            +
                  "learning_rate": 9.856946560883034e-05,
         | 
| 286 | 
            +
                  "loss": 0.3474,
         | 
| 287 | 
            +
                  "step": 3500
         | 
| 288 | 
            +
                },
         | 
| 289 | 
            +
                {
         | 
| 290 | 
            +
                  "epoch": 0.08063432334363661,
         | 
| 291 | 
            +
                  "grad_norm": 20.7421932220459,
         | 
| 292 | 
            +
                  "learning_rate": 9.848451294439224e-05,
         | 
| 293 | 
            +
                  "loss": 0.3533,
         | 
| 294 | 
            +
                  "step": 3600
         | 
| 295 | 
            +
                },
         | 
| 296 | 
            +
                {
         | 
| 297 | 
            +
                  "epoch": 0.08287416565873762,
         | 
| 298 | 
            +
                  "grad_norm": 22.051513671875,
         | 
| 299 | 
            +
                  "learning_rate": 9.839714880054987e-05,
         | 
| 300 | 
            +
                  "loss": 0.3277,
         | 
| 301 | 
            +
                  "step": 3700
         | 
| 302 | 
            +
                },
         | 
| 303 | 
            +
                {
         | 
| 304 | 
            +
                  "epoch": 0.08511400797383864,
         | 
| 305 | 
            +
                  "grad_norm": 22.470027923583984,
         | 
| 306 | 
            +
                  "learning_rate": 9.830737752254294e-05,
         | 
| 307 | 
            +
                  "loss": 0.3261,
         | 
| 308 | 
            +
                  "step": 3800
         | 
| 309 | 
            +
                },
         | 
| 310 | 
            +
                {
         | 
| 311 | 
            +
                  "epoch": 0.08735385028893966,
         | 
| 312 | 
            +
                  "grad_norm": 20.80890464782715,
         | 
| 313 | 
            +
                  "learning_rate": 9.821520357533513e-05,
         | 
| 314 | 
            +
                  "loss": 0.3474,
         | 
| 315 | 
            +
                  "step": 3900
         | 
| 316 | 
            +
                },
         | 
| 317 | 
            +
                {
         | 
| 318 | 
            +
                  "epoch": 0.08959369260404068,
         | 
| 319 | 
            +
                  "grad_norm": 20.187280654907227,
         | 
| 320 | 
            +
                  "learning_rate": 9.812063154339191e-05,
         | 
| 321 | 
            +
                  "loss": 0.2984,
         | 
| 322 | 
            +
                  "step": 4000
         | 
| 323 | 
            +
                },
         | 
| 324 | 
            +
                {
         | 
| 325 | 
            +
                  "epoch": 0.08959369260404068,
         | 
| 326 | 
            +
                  "eval_avg_non_pair_similarity": -0.0008396646829899625,
         | 
| 327 | 
            +
                  "eval_avg_pair_similarity": -0.011315496074035763,
         | 
| 328 | 
            +
                  "eval_loss": 0.32538020610809326,
         | 
| 329 | 
            +
                  "eval_runtime": 19.4916,
         | 
| 330 | 
            +
                  "eval_samples_per_second": 25.652,
         | 
| 331 | 
            +
                  "eval_similarity_ratio": 13.476208185560939,
         | 
| 332 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 333 | 
            +
                  "step": 4000
         | 
| 334 | 
            +
                },
         | 
| 335 | 
            +
                {
         | 
| 336 | 
            +
                  "epoch": 0.09183353491914169,
         | 
| 337 | 
            +
                  "grad_norm": 26.496036529541016,
         | 
| 338 | 
            +
                  "learning_rate": 9.802366613045254e-05,
         | 
| 339 | 
            +
                  "loss": 0.3326,
         | 
| 340 | 
            +
                  "step": 4100
         | 
| 341 | 
            +
                },
         | 
| 342 | 
            +
                {
         | 
| 343 | 
            +
                  "epoch": 0.09407337723424271,
         | 
| 344 | 
            +
                  "grad_norm": 23.102359771728516,
         | 
| 345 | 
            +
                  "learning_rate": 9.792431215929613e-05,
         | 
| 346 | 
            +
                  "loss": 0.3341,
         | 
| 347 | 
            +
                  "step": 4200
         | 
| 348 | 
            +
                },
         | 
| 349 | 
            +
                {
         | 
| 350 | 
            +
                  "epoch": 0.09631321954934373,
         | 
| 351 | 
            +
                  "grad_norm": 21.27369499206543,
         | 
| 352 | 
            +
                  "learning_rate": 9.782257457150177e-05,
         | 
| 353 | 
            +
                  "loss": 0.3254,
         | 
| 354 | 
            +
                  "step": 4300
         | 
| 355 | 
            +
                },
         | 
| 356 | 
            +
                {
         | 
| 357 | 
            +
                  "epoch": 0.09855306186444475,
         | 
| 358 | 
            +
                  "grad_norm": 19.25406265258789,
         | 
| 359 | 
            +
                  "learning_rate": 9.771845842720274e-05,
         | 
| 360 | 
            +
                  "loss": 0.3334,
         | 
| 361 | 
            +
                  "step": 4400
         | 
| 362 | 
            +
                },
         | 
| 363 | 
            +
                {
         | 
| 364 | 
            +
                  "epoch": 0.10079290417954576,
         | 
| 365 | 
            +
                  "grad_norm": 15.666335105895996,
         | 
| 366 | 
            +
                  "learning_rate": 9.761196890483482e-05,
         | 
| 367 | 
            +
                  "loss": 0.3064,
         | 
| 368 | 
            +
                  "step": 4500
         | 
| 369 | 
            +
                },
         | 
| 370 | 
            +
                {
         | 
| 371 | 
            +
                  "epoch": 0.10303274649464678,
         | 
| 372 | 
            +
                  "grad_norm": 24.592592239379883,
         | 
| 373 | 
            +
                  "learning_rate": 9.75031113008788e-05,
         | 
| 374 | 
            +
                  "loss": 0.2902,
         | 
| 375 | 
            +
                  "step": 4600
         | 
| 376 | 
            +
                },
         | 
| 377 | 
            +
                {
         | 
| 378 | 
            +
                  "epoch": 0.1052725888097478,
         | 
| 379 | 
            +
                  "grad_norm": 20.0572566986084,
         | 
| 380 | 
            +
                  "learning_rate": 9.739189102959696e-05,
         | 
| 381 | 
            +
                  "loss": 0.3121,
         | 
| 382 | 
            +
                  "step": 4700
         | 
| 383 | 
            +
                },
         | 
| 384 | 
            +
                {
         | 
| 385 | 
            +
                  "epoch": 0.10751243112484882,
         | 
| 386 | 
            +
                  "grad_norm": 19.887725830078125,
         | 
| 387 | 
            +
                  "learning_rate": 9.727831362276381e-05,
         | 
| 388 | 
            +
                  "loss": 0.3014,
         | 
| 389 | 
            +
                  "step": 4800
         | 
| 390 | 
            +
                },
         | 
| 391 | 
            +
                {
         | 
| 392 | 
            +
                  "epoch": 0.10975227343994982,
         | 
| 393 | 
            +
                  "grad_norm": 15.561097145080566,
         | 
| 394 | 
            +
                  "learning_rate": 9.716238472939101e-05,
         | 
| 395 | 
            +
                  "loss": 0.316,
         | 
| 396 | 
            +
                  "step": 4900
         | 
| 397 | 
            +
                },
         | 
| 398 | 
            +
                {
         | 
| 399 | 
            +
                  "epoch": 0.11199211575505084,
         | 
| 400 | 
            +
                  "grad_norm": 17.96786880493164,
         | 
| 401 | 
            +
                  "learning_rate": 9.704411011544629e-05,
         | 
| 402 | 
            +
                  "loss": 0.3215,
         | 
| 403 | 
            +
                  "step": 5000
         | 
| 404 | 
            +
                },
         | 
| 405 | 
            +
                {
         | 
| 406 | 
            +
                  "epoch": 0.11199211575505084,
         | 
| 407 | 
            +
                  "eval_avg_non_pair_similarity": 0.00024146916974524413,
         | 
| 408 | 
            +
                  "eval_avg_pair_similarity": -0.009633154251612723,
         | 
| 409 | 
            +
                  "eval_loss": 0.2951599061489105,
         | 
| 410 | 
            +
                  "eval_runtime": 19.5025,
         | 
| 411 | 
            +
                  "eval_samples_per_second": 25.638,
         | 
| 412 | 
            +
                  "eval_similarity_ratio": -39.893930400207765,
         | 
| 413 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 414 | 
            +
                  "step": 5000
         | 
| 415 | 
            +
                },
         | 
| 416 | 
            +
                {
         | 
| 417 | 
            +
                  "epoch": 0.11423195807015186,
         | 
| 418 | 
            +
                  "grad_norm": 14.672723770141602,
         | 
| 419 | 
            +
                  "learning_rate": 9.692349566356677e-05,
         | 
| 420 | 
            +
                  "loss": 0.2954,
         | 
| 421 | 
            +
                  "step": 5100
         | 
| 422 | 
            +
                },
         | 
| 423 | 
            +
                {
         | 
| 424 | 
            +
                  "epoch": 0.11647180038525287,
         | 
| 425 | 
            +
                  "grad_norm": 17.881025314331055,
         | 
| 426 | 
            +
                  "learning_rate": 9.680054737276638e-05,
         | 
| 427 | 
            +
                  "loss": 0.2968,
         | 
| 428 | 
            +
                  "step": 5200
         | 
| 429 | 
            +
                },
         | 
| 430 | 
            +
                {
         | 
| 431 | 
            +
                  "epoch": 0.11871164270035389,
         | 
| 432 | 
            +
                  "grad_norm": 16.55130958557129,
         | 
| 433 | 
            +
                  "learning_rate": 9.667527135813737e-05,
         | 
| 434 | 
            +
                  "loss": 0.2707,
         | 
| 435 | 
            +
                  "step": 5300
         | 
| 436 | 
            +
                },
         | 
| 437 | 
            +
                {
         | 
| 438 | 
            +
                  "epoch": 0.12095148501545491,
         | 
| 439 | 
            +
                  "grad_norm": 21.650575637817383,
         | 
| 440 | 
            +
                  "learning_rate": 9.654767385054627e-05,
         | 
| 441 | 
            +
                  "loss": 0.3068,
         | 
| 442 | 
            +
                  "step": 5400
         | 
| 443 | 
            +
                },
         | 
| 444 | 
            +
                {
         | 
| 445 | 
            +
                  "epoch": 0.12319132733055593,
         | 
| 446 | 
            +
                  "grad_norm": 20.990921020507812,
         | 
| 447 | 
            +
                  "learning_rate": 9.641776119632397e-05,
         | 
| 448 | 
            +
                  "loss": 0.3037,
         | 
| 449 | 
            +
                  "step": 5500
         | 
| 450 | 
            +
                },
         | 
| 451 | 
            +
                {
         | 
| 452 | 
            +
                  "epoch": 0.12543116964565695,
         | 
| 453 | 
            +
                  "grad_norm": 21.97833824157715,
         | 
| 454 | 
            +
                  "learning_rate": 9.628553985695005e-05,
         | 
| 455 | 
            +
                  "loss": 0.3307,
         | 
| 456 | 
            +
                  "step": 5600
         | 
| 457 | 
            +
                },
         | 
| 458 | 
            +
                {
         | 
| 459 | 
            +
                  "epoch": 0.12767101196075797,
         | 
| 460 | 
            +
                  "grad_norm": 20.353246688842773,
         | 
| 461 | 
            +
                  "learning_rate": 9.61510164087314e-05,
         | 
| 462 | 
            +
                  "loss": 0.2907,
         | 
| 463 | 
            +
                  "step": 5700
         | 
| 464 | 
            +
                },
         | 
| 465 | 
            +
                {
         | 
| 466 | 
            +
                  "epoch": 0.12991085427585897,
         | 
| 467 | 
            +
                  "grad_norm": 16.254976272583008,
         | 
| 468 | 
            +
                  "learning_rate": 9.601419754247514e-05,
         | 
| 469 | 
            +
                  "loss": 0.3025,
         | 
| 470 | 
            +
                  "step": 5800
         | 
| 471 | 
            +
                },
         | 
| 472 | 
            +
                {
         | 
| 473 | 
            +
                  "epoch": 0.13215069659096,
         | 
| 474 | 
            +
                  "grad_norm": 24.14662742614746,
         | 
| 475 | 
            +
                  "learning_rate": 9.587509006315585e-05,
         | 
| 476 | 
            +
                  "loss": 0.2676,
         | 
| 477 | 
            +
                  "step": 5900
         | 
| 478 | 
            +
                },
         | 
| 479 | 
            +
                {
         | 
| 480 | 
            +
                  "epoch": 0.134390538906061,
         | 
| 481 | 
            +
                  "grad_norm": 15.861074447631836,
         | 
| 482 | 
            +
                  "learning_rate": 9.573370088957712e-05,
         | 
| 483 | 
            +
                  "loss": 0.2953,
         | 
| 484 | 
            +
                  "step": 6000
         | 
| 485 | 
            +
                },
         | 
| 486 | 
            +
                {
         | 
| 487 | 
            +
                  "epoch": 0.134390538906061,
         | 
| 488 | 
            +
                  "eval_avg_non_pair_similarity": -0.00021786548842126337,
         | 
| 489 | 
            +
                  "eval_avg_pair_similarity": -0.001965825233142823,
         | 
| 490 | 
            +
                  "eval_loss": 0.31484127044677734,
         | 
| 491 | 
            +
                  "eval_runtime": 19.5134,
         | 
| 492 | 
            +
                  "eval_samples_per_second": 25.623,
         | 
| 493 | 
            +
                  "eval_similarity_ratio": 9.023114433533939,
         | 
| 494 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 495 | 
            +
                  "step": 6000
         | 
| 496 | 
            +
                },
         | 
| 497 | 
            +
                {
         | 
| 498 | 
            +
                  "epoch": 0.13663038122116203,
         | 
| 499 | 
            +
                  "grad_norm": 14.910375595092773,
         | 
| 500 | 
            +
                  "learning_rate": 9.559003705402737e-05,
         | 
| 501 | 
            +
                  "loss": 0.2846,
         | 
| 502 | 
            +
                  "step": 6100
         | 
| 503 | 
            +
                },
         | 
| 504 | 
            +
                {
         | 
| 505 | 
            +
                  "epoch": 0.13887022353626305,
         | 
| 506 | 
            +
                  "grad_norm": 17.768138885498047,
         | 
| 507 | 
            +
                  "learning_rate": 9.544410570193014e-05,
         | 
| 508 | 
            +
                  "loss": 0.3031,
         | 
| 509 | 
            +
                  "step": 6200
         | 
| 510 | 
            +
                },
         | 
| 511 | 
            +
                {
         | 
| 512 | 
            +
                  "epoch": 0.14111006585136407,
         | 
| 513 | 
            +
                  "grad_norm": 13.620220184326172,
         | 
| 514 | 
            +
                  "learning_rate": 9.529591409148874e-05,
         | 
| 515 | 
            +
                  "loss": 0.2716,
         | 
| 516 | 
            +
                  "step": 6300
         | 
| 517 | 
            +
                },
         | 
| 518 | 
            +
                {
         | 
| 519 | 
            +
                  "epoch": 0.1433499081664651,
         | 
| 520 | 
            +
                  "grad_norm": 14.697577476501465,
         | 
| 521 | 
            +
                  "learning_rate": 9.514546959332509e-05,
         | 
| 522 | 
            +
                  "loss": 0.2759,
         | 
| 523 | 
            +
                  "step": 6400
         | 
| 524 | 
            +
                },
         | 
| 525 | 
            +
                {
         | 
| 526 | 
            +
                  "epoch": 0.1455897504815661,
         | 
| 527 | 
            +
                  "grad_norm": 21.234310150146484,
         | 
| 528 | 
            +
                  "learning_rate": 9.499277969011334e-05,
         | 
| 529 | 
            +
                  "loss": 0.2845,
         | 
| 530 | 
            +
                  "step": 6500
         | 
| 531 | 
            +
                },
         | 
| 532 | 
            +
                {
         | 
| 533 | 
            +
                  "epoch": 0.1478295927966671,
         | 
| 534 | 
            +
                  "grad_norm": 16.50038719177246,
         | 
| 535 | 
            +
                  "learning_rate": 9.483785197620747e-05,
         | 
| 536 | 
            +
                  "loss": 0.2471,
         | 
| 537 | 
            +
                  "step": 6600
         | 
| 538 | 
            +
                },
         | 
| 539 | 
            +
                {
         | 
| 540 | 
            +
                  "epoch": 0.15006943511176812,
         | 
| 541 | 
            +
                  "grad_norm": 16.261537551879883,
         | 
| 542 | 
            +
                  "learning_rate": 9.468069415726377e-05,
         | 
| 543 | 
            +
                  "loss": 0.2978,
         | 
| 544 | 
            +
                  "step": 6700
         | 
| 545 | 
            +
                },
         | 
| 546 | 
            +
                {
         | 
| 547 | 
            +
                  "epoch": 0.15230927742686914,
         | 
| 548 | 
            +
                  "grad_norm": 16.553571701049805,
         | 
| 549 | 
            +
                  "learning_rate": 9.452131404985752e-05,
         | 
| 550 | 
            +
                  "loss": 0.311,
         | 
| 551 | 
            +
                  "step": 6800
         | 
| 552 | 
            +
                },
         | 
| 553 | 
            +
                {
         | 
| 554 | 
            +
                  "epoch": 0.15454911974197016,
         | 
| 555 | 
            +
                  "grad_norm": 18.445993423461914,
         | 
| 556 | 
            +
                  "learning_rate": 9.43597195810941e-05,
         | 
| 557 | 
            +
                  "loss": 0.2777,
         | 
| 558 | 
            +
                  "step": 6900
         | 
| 559 | 
            +
                },
         | 
| 560 | 
            +
                {
         | 
| 561 | 
            +
                  "epoch": 0.15678896205707119,
         | 
| 562 | 
            +
                  "grad_norm": 13.675585746765137,
         | 
| 563 | 
            +
                  "learning_rate": 9.419591878821496e-05,
         | 
| 564 | 
            +
                  "loss": 0.2417,
         | 
| 565 | 
            +
                  "step": 7000
         | 
| 566 | 
            +
                },
         | 
| 567 | 
            +
                {
         | 
| 568 | 
            +
                  "epoch": 0.15678896205707119,
         | 
| 569 | 
            +
                  "eval_avg_non_pair_similarity": 0.0003613333898595999,
         | 
| 570 | 
            +
                  "eval_avg_pair_similarity": 0.005676110625499859,
         | 
| 571 | 
            +
                  "eval_loss": 0.3019685447216034,
         | 
| 572 | 
            +
                  "eval_runtime": 19.5219,
         | 
| 573 | 
            +
                  "eval_samples_per_second": 25.612,
         | 
| 574 | 
            +
                  "eval_similarity_ratio": 15.708790786551377,
         | 
| 575 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 576 | 
            +
                  "step": 7000
         | 
| 577 | 
            +
                },
         | 
| 578 | 
            +
                {
         | 
| 579 | 
            +
                  "epoch": 0.1590288043721722,
         | 
| 580 | 
            +
                  "grad_norm": 15.780075073242188,
         | 
| 581 | 
            +
                  "learning_rate": 9.402991981819758e-05,
         | 
| 582 | 
            +
                  "loss": 0.2866,
         | 
| 583 | 
            +
                  "step": 7100
         | 
| 584 | 
            +
                },
         | 
| 585 | 
            +
                {
         | 
| 586 | 
            +
                  "epoch": 0.16126864668727323,
         | 
| 587 | 
            +
                  "grad_norm": 17.34490966796875,
         | 
| 588 | 
            +
                  "learning_rate": 9.386173092735051e-05,
         | 
| 589 | 
            +
                  "loss": 0.2526,
         | 
| 590 | 
            +
                  "step": 7200
         | 
| 591 | 
            +
                },
         | 
| 592 | 
            +
                {
         | 
| 593 | 
            +
                  "epoch": 0.16350848900237425,
         | 
| 594 | 
            +
                  "grad_norm": 14.431266784667969,
         | 
| 595 | 
            +
                  "learning_rate": 9.36913604809026e-05,
         | 
| 596 | 
            +
                  "loss": 0.2646,
         | 
| 597 | 
            +
                  "step": 7300
         | 
| 598 | 
            +
                },
         | 
| 599 | 
            +
                {
         | 
| 600 | 
            +
                  "epoch": 0.16574833131747524,
         | 
| 601 | 
            +
                  "grad_norm": 11.20712661743164,
         | 
| 602 | 
            +
                  "learning_rate": 9.351881695258693e-05,
         | 
| 603 | 
            +
                  "loss": 0.2279,
         | 
| 604 | 
            +
                  "step": 7400
         | 
| 605 | 
            +
                },
         | 
| 606 | 
            +
                {
         | 
| 607 | 
            +
                  "epoch": 0.16798817363257626,
         | 
| 608 | 
            +
                  "grad_norm": 15.549891471862793,
         | 
| 609 | 
            +
                  "learning_rate": 9.334410892421945e-05,
         | 
| 610 | 
            +
                  "loss": 0.2884,
         | 
| 611 | 
            +
                  "step": 7500
         | 
| 612 | 
            +
                },
         | 
| 613 | 
            +
                {
         | 
| 614 | 
            +
                  "epoch": 0.17022801594767728,
         | 
| 615 | 
            +
                  "grad_norm": 14.635927200317383,
         | 
| 616 | 
            +
                  "learning_rate": 9.316724508527205e-05,
         | 
| 617 | 
            +
                  "loss": 0.2729,
         | 
| 618 | 
            +
                  "step": 7600
         | 
| 619 | 
            +
                },
         | 
| 620 | 
            +
                {
         | 
| 621 | 
            +
                  "epoch": 0.1724678582627783,
         | 
| 622 | 
            +
                  "grad_norm": 12.841429710388184,
         | 
| 623 | 
            +
                  "learning_rate": 9.298823423244038e-05,
         | 
| 624 | 
            +
                  "loss": 0.271,
         | 
| 625 | 
            +
                  "step": 7700
         | 
| 626 | 
            +
                },
         | 
| 627 | 
            +
                {
         | 
| 628 | 
            +
                  "epoch": 0.17470770057787932,
         | 
| 629 | 
            +
                  "grad_norm": 13.053755760192871,
         | 
| 630 | 
            +
                  "learning_rate": 9.280708526920636e-05,
         | 
| 631 | 
            +
                  "loss": 0.3094,
         | 
| 632 | 
            +
                  "step": 7800
         | 
| 633 | 
            +
                },
         | 
| 634 | 
            +
                {
         | 
| 635 | 
            +
                  "epoch": 0.17694754289298034,
         | 
| 636 | 
            +
                  "grad_norm": 14.694463729858398,
         | 
| 637 | 
            +
                  "learning_rate": 9.262380720539536e-05,
         | 
| 638 | 
            +
                  "loss": 0.2687,
         | 
| 639 | 
            +
                  "step": 7900
         | 
| 640 | 
            +
                },
         | 
| 641 | 
            +
                {
         | 
| 642 | 
            +
                  "epoch": 0.17918738520808136,
         | 
| 643 | 
            +
                  "grad_norm": 14.9842529296875,
         | 
| 644 | 
            +
                  "learning_rate": 9.243840915672804e-05,
         | 
| 645 | 
            +
                  "loss": 0.2539,
         | 
| 646 | 
            +
                  "step": 8000
         | 
| 647 | 
            +
                },
         | 
| 648 | 
            +
                {
         | 
| 649 | 
            +
                  "epoch": 0.17918738520808136,
         | 
| 650 | 
            +
                  "eval_avg_non_pair_similarity": -0.0009227607365296818,
         | 
| 651 | 
            +
                  "eval_avg_pair_similarity": -0.005276160409208387,
         | 
| 652 | 
            +
                  "eval_loss": 0.22878731787204742,
         | 
| 653 | 
            +
                  "eval_runtime": 19.5192,
         | 
| 654 | 
            +
                  "eval_samples_per_second": 25.616,
         | 
| 655 | 
            +
                  "eval_similarity_ratio": 5.717798992023619,
         | 
| 656 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 657 | 
            +
                  "step": 8000
         | 
| 658 | 
            +
                },
         | 
| 659 | 
            +
                {
         | 
| 660 | 
            +
                  "epoch": 0.18142722752318236,
         | 
| 661 | 
            +
                  "grad_norm": 11.896175384521484,
         | 
| 662 | 
            +
                  "learning_rate": 9.225090034436697e-05,
         | 
| 663 | 
            +
                  "loss": 0.2739,
         | 
| 664 | 
            +
                  "step": 8100
         | 
| 665 | 
            +
                },
         | 
| 666 | 
            +
                {
         | 
| 667 | 
            +
                  "epoch": 0.18366706983828338,
         | 
| 668 | 
            +
                  "grad_norm": 12.229938507080078,
         | 
| 669 | 
            +
                  "learning_rate": 9.206129009445796e-05,
         | 
| 670 | 
            +
                  "loss": 0.2467,
         | 
| 671 | 
            +
                  "step": 8200
         | 
| 672 | 
            +
                },
         | 
| 673 | 
            +
                {
         | 
| 674 | 
            +
                  "epoch": 0.1859069121533844,
         | 
| 675 | 
            +
                  "grad_norm": 15.017464637756348,
         | 
| 676 | 
            +
                  "learning_rate": 9.186958783766633e-05,
         | 
| 677 | 
            +
                  "loss": 0.2668,
         | 
| 678 | 
            +
                  "step": 8300
         | 
| 679 | 
            +
                },
         | 
| 680 | 
            +
                {
         | 
| 681 | 
            +
                  "epoch": 0.18814675446848542,
         | 
| 682 | 
            +
                  "grad_norm": 15.509882926940918,
         | 
| 683 | 
            +
                  "learning_rate": 9.167580310870769e-05,
         | 
| 684 | 
            +
                  "loss": 0.2614,
         | 
| 685 | 
            +
                  "step": 8400
         | 
| 686 | 
            +
                },
         | 
| 687 | 
            +
                {
         | 
| 688 | 
            +
                  "epoch": 0.19038659678358644,
         | 
| 689 | 
            +
                  "grad_norm": 14.945472717285156,
         | 
| 690 | 
            +
                  "learning_rate": 9.147994554587385e-05,
         | 
| 691 | 
            +
                  "loss": 0.2266,
         | 
| 692 | 
            +
                  "step": 8500
         | 
| 693 | 
            +
                },
         | 
| 694 | 
            +
                {
         | 
| 695 | 
            +
                  "epoch": 0.19262643909868746,
         | 
| 696 | 
            +
                  "grad_norm": 16.0211238861084,
         | 
| 697 | 
            +
                  "learning_rate": 9.128202489055335e-05,
         | 
| 698 | 
            +
                  "loss": 0.2428,
         | 
| 699 | 
            +
                  "step": 8600
         | 
| 700 | 
            +
                },
         | 
| 701 | 
            +
                {
         | 
| 702 | 
            +
                  "epoch": 0.19486628141378848,
         | 
| 703 | 
            +
                  "grad_norm": 16.380727767944336,
         | 
| 704 | 
            +
                  "learning_rate": 9.108205098674698e-05,
         | 
| 705 | 
            +
                  "loss": 0.2578,
         | 
| 706 | 
            +
                  "step": 8700
         | 
| 707 | 
            +
                },
         | 
| 708 | 
            +
                {
         | 
| 709 | 
            +
                  "epoch": 0.1971061237288895,
         | 
| 710 | 
            +
                  "grad_norm": 12.938665390014648,
         | 
| 711 | 
            +
                  "learning_rate": 9.088003378057816e-05,
         | 
| 712 | 
            +
                  "loss": 0.2445,
         | 
| 713 | 
            +
                  "step": 8800
         | 
| 714 | 
            +
                },
         | 
| 715 | 
            +
                {
         | 
| 716 | 
            +
                  "epoch": 0.1993459660439905,
         | 
| 717 | 
            +
                  "grad_norm": 7.832601070404053,
         | 
| 718 | 
            +
                  "learning_rate": 9.067598331979829e-05,
         | 
| 719 | 
            +
                  "loss": 0.2284,
         | 
| 720 | 
            +
                  "step": 8900
         | 
| 721 | 
            +
                },
         | 
| 722 | 
            +
                {
         | 
| 723 | 
            +
                  "epoch": 0.2015858083590915,
         | 
| 724 | 
            +
                  "grad_norm": 12.243515014648438,
         | 
| 725 | 
            +
                  "learning_rate": 9.046990975328694e-05,
         | 
| 726 | 
            +
                  "loss": 0.271,
         | 
| 727 | 
            +
                  "step": 9000
         | 
| 728 | 
            +
                },
         | 
| 729 | 
            +
                {
         | 
| 730 | 
            +
                  "epoch": 0.2015858083590915,
         | 
| 731 | 
            +
                  "eval_avg_non_pair_similarity": -0.0005964781935742025,
         | 
| 732 | 
            +
                  "eval_avg_pair_similarity": -0.0012636589542962611,
         | 
| 733 | 
            +
                  "eval_loss": 0.24378302693367004,
         | 
| 734 | 
            +
                  "eval_runtime": 19.5294,
         | 
| 735 | 
            +
                  "eval_samples_per_second": 25.602,
         | 
| 736 | 
            +
                  "eval_similarity_ratio": 2.1185333645211637,
         | 
| 737 | 
            +
                  "eval_steps_per_second": 0.819,
         | 
| 738 | 
            +
                  "step": 9000
         | 
| 739 | 
            +
                },
         | 
| 740 | 
            +
                {
         | 
| 741 | 
            +
                  "epoch": 0.20382565067419253,
         | 
| 742 | 
            +
                  "grad_norm": 14.057201385498047,
         | 
| 743 | 
            +
                  "learning_rate": 9.026182333054714e-05,
         | 
| 744 | 
            +
                  "loss": 0.2216,
         | 
| 745 | 
            +
                  "step": 9100
         | 
| 746 | 
            +
                },
         | 
| 747 | 
            +
                {
         | 
| 748 | 
            +
                  "epoch": 0.20606549298929355,
         | 
| 749 | 
            +
                  "grad_norm": 9.724617958068848,
         | 
| 750 | 
            +
                  "learning_rate": 9.005173440119555e-05,
         | 
| 751 | 
            +
                  "loss": 0.2625,
         | 
| 752 | 
            +
                  "step": 9200
         | 
| 753 | 
            +
                },
         | 
| 754 | 
            +
                {
         | 
| 755 | 
            +
                  "epoch": 0.20830533530439457,
         | 
| 756 | 
            +
                  "grad_norm": 13.209918975830078,
         | 
| 757 | 
            +
                  "learning_rate": 8.983965341444769e-05,
         | 
| 758 | 
            +
                  "loss": 0.2508,
         | 
| 759 | 
            +
                  "step": 9300
         | 
| 760 | 
            +
                },
         | 
| 761 | 
            +
                {
         | 
| 762 | 
            +
                  "epoch": 0.2105451776194956,
         | 
| 763 | 
            +
                  "grad_norm": 12.0099458694458,
         | 
| 764 | 
            +
                  "learning_rate": 8.962559091859828e-05,
         | 
| 765 | 
            +
                  "loss": 0.2263,
         | 
| 766 | 
            +
                  "step": 9400
         | 
| 767 | 
            +
                },
         | 
| 768 | 
            +
                {
         | 
| 769 | 
            +
                  "epoch": 0.21278501993459661,
         | 
| 770 | 
            +
                  "grad_norm": 11.473740577697754,
         | 
| 771 | 
            +
                  "learning_rate": 8.940955756049658e-05,
         | 
| 772 | 
            +
                  "loss": 0.256,
         | 
| 773 | 
            +
                  "step": 9500
         | 
| 774 | 
            +
                },
         | 
| 775 | 
            +
                {
         | 
| 776 | 
            +
                  "epoch": 0.21502486224969763,
         | 
| 777 | 
            +
                  "grad_norm": 13.63650131225586,
         | 
| 778 | 
            +
                  "learning_rate": 8.919156408501678e-05,
         | 
| 779 | 
            +
                  "loss": 0.2594,
         | 
| 780 | 
            +
                  "step": 9600
         | 
| 781 | 
            +
                },
         | 
| 782 | 
            +
                {
         | 
| 783 | 
            +
                  "epoch": 0.21726470456479863,
         | 
| 784 | 
            +
                  "grad_norm": 11.578638076782227,
         | 
| 785 | 
            +
                  "learning_rate": 8.897162133452375e-05,
         | 
| 786 | 
            +
                  "loss": 0.225,
         | 
| 787 | 
            +
                  "step": 9700
         | 
| 788 | 
            +
                },
         | 
| 789 | 
            +
                {
         | 
| 790 | 
            +
                  "epoch": 0.21950454687989965,
         | 
| 791 | 
            +
                  "grad_norm": 8.985605239868164,
         | 
| 792 | 
            +
                  "learning_rate": 8.874974024833351e-05,
         | 
| 793 | 
            +
                  "loss": 0.2525,
         | 
| 794 | 
            +
                  "step": 9800
         | 
| 795 | 
            +
                },
         | 
| 796 | 
            +
                {
         | 
| 797 | 
            +
                  "epoch": 0.22174438919500067,
         | 
| 798 | 
            +
                  "grad_norm": 15.842543601989746,
         | 
| 799 | 
            +
                  "learning_rate": 8.852593186216942e-05,
         | 
| 800 | 
            +
                  "loss": 0.239,
         | 
| 801 | 
            +
                  "step": 9900
         | 
| 802 | 
            +
                },
         | 
| 803 | 
            +
                {
         | 
| 804 | 
            +
                  "epoch": 0.2239842315101017,
         | 
| 805 | 
            +
                  "grad_norm": 13.797926902770996,
         | 
| 806 | 
            +
                  "learning_rate": 8.830020730761308e-05,
         | 
| 807 | 
            +
                  "loss": 0.2133,
         | 
| 808 | 
            +
                  "step": 10000
         | 
| 809 | 
            +
                },
         | 
| 810 | 
            +
                {
         | 
| 811 | 
            +
                  "epoch": 0.2239842315101017,
         | 
| 812 | 
            +
                  "eval_avg_non_pair_similarity": 3.824399728542623e-05,
         | 
| 813 | 
            +
                  "eval_avg_pair_similarity": -0.010851175129879266,
         | 
| 814 | 
            +
                  "eval_loss": 0.2623503506183624,
         | 
| 815 | 
            +
                  "eval_runtime": 19.4973,
         | 
| 816 | 
            +
                  "eval_samples_per_second": 25.645,
         | 
| 817 | 
            +
                  "eval_similarity_ratio": -283.7353807159264,
         | 
| 818 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 819 | 
            +
                  "step": 10000
         | 
| 820 | 
            +
                },
         | 
| 821 | 
            +
                {
         | 
| 822 | 
            +
                  "epoch": 0.2262240738252027,
         | 
| 823 | 
            +
                  "grad_norm": 13.315906524658203,
         | 
| 824 | 
            +
                  "learning_rate": 8.807257781155081e-05,
         | 
| 825 | 
            +
                  "loss": 0.2192,
         | 
| 826 | 
            +
                  "step": 10100
         | 
| 827 | 
            +
                },
         | 
| 828 | 
            +
                {
         | 
| 829 | 
            +
                  "epoch": 0.22846391614030373,
         | 
| 830 | 
            +
                  "grad_norm": 11.403688430786133,
         | 
| 831 | 
            +
                  "learning_rate": 8.784305469561519e-05,
         | 
| 832 | 
            +
                  "loss": 0.2359,
         | 
| 833 | 
            +
                  "step": 10200
         | 
| 834 | 
            +
                },
         | 
| 835 | 
            +
                {
         | 
| 836 | 
            +
                  "epoch": 0.23070375845540475,
         | 
| 837 | 
            +
                  "grad_norm": 11.676390647888184,
         | 
| 838 | 
            +
                  "learning_rate": 8.761164937562199e-05,
         | 
| 839 | 
            +
                  "loss": 0.224,
         | 
| 840 | 
            +
                  "step": 10300
         | 
| 841 | 
            +
                },
         | 
| 842 | 
            +
                {
         | 
| 843 | 
            +
                  "epoch": 0.23294360077050574,
         | 
| 844 | 
            +
                  "grad_norm": 11.526522636413574,
         | 
| 845 | 
            +
                  "learning_rate": 8.737837336100233e-05,
         | 
| 846 | 
            +
                  "loss": 0.2288,
         | 
| 847 | 
            +
                  "step": 10400
         | 
| 848 | 
            +
                },
         | 
| 849 | 
            +
                {
         | 
| 850 | 
            +
                  "epoch": 0.23518344308560676,
         | 
| 851 | 
            +
                  "grad_norm": 15.950361251831055,
         | 
| 852 | 
            +
                  "learning_rate": 8.714323825423031e-05,
         | 
| 853 | 
            +
                  "loss": 0.2388,
         | 
| 854 | 
            +
                  "step": 10500
         | 
| 855 | 
            +
                },
         | 
| 856 | 
            +
                {
         | 
| 857 | 
            +
                  "epoch": 0.23742328540070778,
         | 
| 858 | 
            +
                  "grad_norm": 11.149569511413574,
         | 
| 859 | 
            +
                  "learning_rate": 8.690625575024586e-05,
         | 
| 860 | 
            +
                  "loss": 0.2067,
         | 
| 861 | 
            +
                  "step": 10600
         | 
| 862 | 
            +
                },
         | 
| 863 | 
            +
                {
         | 
| 864 | 
            +
                  "epoch": 0.2396631277158088,
         | 
| 865 | 
            +
                  "grad_norm": 10.904093742370605,
         | 
| 866 | 
            +
                  "learning_rate": 8.666743763587315e-05,
         | 
| 867 | 
            +
                  "loss": 0.2354,
         | 
| 868 | 
            +
                  "step": 10700
         | 
| 869 | 
            +
                },
         | 
| 870 | 
            +
                {
         | 
| 871 | 
            +
                  "epoch": 0.24190297003090983,
         | 
| 872 | 
            +
                  "grad_norm": 10.213909149169922,
         | 
| 873 | 
            +
                  "learning_rate": 8.642679578923422e-05,
         | 
| 874 | 
            +
                  "loss": 0.2236,
         | 
| 875 | 
            +
                  "step": 10800
         | 
| 876 | 
            +
                },
         | 
| 877 | 
            +
                {
         | 
| 878 | 
            +
                  "epoch": 0.24414281234601085,
         | 
| 879 | 
            +
                  "grad_norm": 10.054357528686523,
         | 
| 880 | 
            +
                  "learning_rate": 8.618434217915838e-05,
         | 
| 881 | 
            +
                  "loss": 0.1987,
         | 
| 882 | 
            +
                  "step": 10900
         | 
| 883 | 
            +
                },
         | 
| 884 | 
            +
                {
         | 
| 885 | 
            +
                  "epoch": 0.24638265466111187,
         | 
| 886 | 
            +
                  "grad_norm": 11.040483474731445,
         | 
| 887 | 
            +
                  "learning_rate": 8.59400888645867e-05,
         | 
| 888 | 
            +
                  "loss": 0.2471,
         | 
| 889 | 
            +
                  "step": 11000
         | 
| 890 | 
            +
                },
         | 
| 891 | 
            +
                {
         | 
| 892 | 
            +
                  "epoch": 0.24638265466111187,
         | 
| 893 | 
            +
                  "eval_avg_non_pair_similarity": 0.00023486310084357872,
         | 
| 894 | 
            +
                  "eval_avg_pair_similarity": 0.00031724373530596497,
         | 
| 895 | 
            +
                  "eval_loss": 0.17524191737174988,
         | 
| 896 | 
            +
                  "eval_runtime": 19.4456,
         | 
| 897 | 
            +
                  "eval_samples_per_second": 25.713,
         | 
| 898 | 
            +
                  "eval_similarity_ratio": 1.3507602265596101,
         | 
| 899 | 
            +
                  "eval_steps_per_second": 0.823,
         | 
| 900 | 
            +
                  "step": 11000
         | 
| 901 | 
            +
                },
         | 
| 902 | 
            +
                {
         | 
| 903 | 
            +
                  "epoch": 0.2486224969762129,
         | 
| 904 | 
            +
                  "grad_norm": 12.810904502868652,
         | 
| 905 | 
            +
                  "learning_rate": 8.569404799397247e-05,
         | 
| 906 | 
            +
                  "loss": 0.1974,
         | 
| 907 | 
            +
                  "step": 11100
         | 
| 908 | 
            +
                },
         | 
| 909 | 
            +
                {
         | 
| 910 | 
            +
                  "epoch": 0.2508623392913139,
         | 
| 911 | 
            +
                  "grad_norm": 15.360380172729492,
         | 
| 912 | 
            +
                  "learning_rate": 8.544623180467673e-05,
         | 
| 913 | 
            +
                  "loss": 0.2204,
         | 
| 914 | 
            +
                  "step": 11200
         | 
| 915 | 
            +
                },
         | 
| 916 | 
            +
                {
         | 
| 917 | 
            +
                  "epoch": 0.2531021816064149,
         | 
| 918 | 
            +
                  "grad_norm": 13.429972648620605,
         | 
| 919 | 
            +
                  "learning_rate": 8.519665262235979e-05,
         | 
| 920 | 
            +
                  "loss": 0.2479,
         | 
| 921 | 
            +
                  "step": 11300
         | 
| 922 | 
            +
                },
         | 
| 923 | 
            +
                {
         | 
| 924 | 
            +
                  "epoch": 0.25534202392151595,
         | 
| 925 | 
            +
                  "grad_norm": 10.252517700195312,
         | 
| 926 | 
            +
                  "learning_rate": 8.494532286036813e-05,
         | 
| 927 | 
            +
                  "loss": 0.1886,
         | 
| 928 | 
            +
                  "step": 11400
         | 
| 929 | 
            +
                },
         | 
| 930 | 
            +
                {
         | 
| 931 | 
            +
                  "epoch": 0.25758186623661694,
         | 
| 932 | 
            +
                  "grad_norm": 11.51858901977539,
         | 
| 933 | 
            +
                  "learning_rate": 8.4692255019117e-05,
         | 
| 934 | 
            +
                  "loss": 0.2191,
         | 
| 935 | 
            +
                  "step": 11500
         | 
| 936 | 
            +
                },
         | 
| 937 | 
            +
                {
         | 
| 938 | 
            +
                  "epoch": 0.25982170855171793,
         | 
| 939 | 
            +
                  "grad_norm": 8.529491424560547,
         | 
| 940 | 
            +
                  "learning_rate": 8.443746168546867e-05,
         | 
| 941 | 
            +
                  "loss": 0.1856,
         | 
| 942 | 
            +
                  "step": 11600
         | 
| 943 | 
            +
                },
         | 
| 944 | 
            +
                {
         | 
| 945 | 
            +
                  "epoch": 0.262061550866819,
         | 
| 946 | 
            +
                  "grad_norm": 7.846275806427002,
         | 
| 947 | 
            +
                  "learning_rate": 8.418095553210641e-05,
         | 
| 948 | 
            +
                  "loss": 0.1879,
         | 
| 949 | 
            +
                  "step": 11700
         | 
| 950 | 
            +
                },
         | 
| 951 | 
            +
                {
         | 
| 952 | 
            +
                  "epoch": 0.26430139318192,
         | 
| 953 | 
            +
                  "grad_norm": 10.658947944641113,
         | 
| 954 | 
            +
                  "learning_rate": 8.392274931690422e-05,
         | 
| 955 | 
            +
                  "loss": 0.1998,
         | 
| 956 | 
            +
                  "step": 11800
         | 
| 957 | 
            +
                },
         | 
| 958 | 
            +
                {
         | 
| 959 | 
            +
                  "epoch": 0.266541235497021,
         | 
| 960 | 
            +
                  "grad_norm": 8.623246192932129,
         | 
| 961 | 
            +
                  "learning_rate": 8.366285588229223e-05,
         | 
| 962 | 
            +
                  "loss": 0.2073,
         | 
| 963 | 
            +
                  "step": 11900
         | 
| 964 | 
            +
                },
         | 
| 965 | 
            +
                {
         | 
| 966 | 
            +
                  "epoch": 0.268781077812122,
         | 
| 967 | 
            +
                  "grad_norm": 8.197981834411621,
         | 
| 968 | 
            +
                  "learning_rate": 8.340128815461797e-05,
         | 
| 969 | 
            +
                  "loss": 0.179,
         | 
| 970 | 
            +
                  "step": 12000
         | 
| 971 | 
            +
                },
         | 
| 972 | 
            +
                {
         | 
| 973 | 
            +
                  "epoch": 0.268781077812122,
         | 
| 974 | 
            +
                  "eval_avg_non_pair_similarity": 5.694422117604282e-05,
         | 
| 975 | 
            +
                  "eval_avg_pair_similarity": -0.00526782719604671,
         | 
| 976 | 
            +
                  "eval_loss": 0.19077710807323456,
         | 
| 977 | 
            +
                  "eval_runtime": 19.459,
         | 
| 978 | 
            +
                  "eval_samples_per_second": 25.695,
         | 
| 979 | 
            +
                  "eval_similarity_ratio": -92.50854761471308,
         | 
| 980 | 
            +
                  "eval_steps_per_second": 0.822,
         | 
| 981 | 
            +
                  "step": 12000
         | 
| 982 | 
            +
                },
         | 
| 983 | 
            +
                {
         | 
| 984 | 
            +
                  "epoch": 0.27102092012722306,
         | 
| 985 | 
            +
                  "grad_norm": 9.695572853088379,
         | 
| 986 | 
            +
                  "learning_rate": 8.313805914350349e-05,
         | 
| 987 | 
            +
                  "loss": 0.2022,
         | 
| 988 | 
            +
                  "step": 12100
         | 
| 989 | 
            +
                },
         | 
| 990 | 
            +
                {
         | 
| 991 | 
            +
                  "epoch": 0.27326076244232406,
         | 
| 992 | 
            +
                  "grad_norm": 8.658490180969238,
         | 
| 993 | 
            +
                  "learning_rate": 8.287318194119825e-05,
         | 
| 994 | 
            +
                  "loss": 0.2011,
         | 
| 995 | 
            +
                  "step": 12200
         | 
| 996 | 
            +
                },
         | 
| 997 | 
            +
                {
         | 
| 998 | 
            +
                  "epoch": 0.2755006047574251,
         | 
| 999 | 
            +
                  "grad_norm": 9.974045753479004,
         | 
| 1000 | 
            +
                  "learning_rate": 8.260666972192798e-05,
         | 
| 1001 | 
            +
                  "loss": 0.2163,
         | 
| 1002 | 
            +
                  "step": 12300
         | 
| 1003 | 
            +
                },
         | 
| 1004 | 
            +
                {
         | 
| 1005 | 
            +
                  "epoch": 0.2777404470725261,
         | 
| 1006 | 
            +
                  "grad_norm": 8.445626258850098,
         | 
| 1007 | 
            +
                  "learning_rate": 8.233853574123944e-05,
         | 
| 1008 | 
            +
                  "loss": 0.1947,
         | 
| 1009 | 
            +
                  "step": 12400
         | 
| 1010 | 
            +
                },
         | 
| 1011 | 
            +
                {
         | 
| 1012 | 
            +
                  "epoch": 0.2799802893876271,
         | 
| 1013 | 
            +
                  "grad_norm": 7.46968412399292,
         | 
| 1014 | 
            +
                  "learning_rate": 8.206879333534109e-05,
         | 
| 1015 | 
            +
                  "loss": 0.1709,
         | 
| 1016 | 
            +
                  "step": 12500
         | 
| 1017 | 
            +
                },
         | 
| 1018 | 
            +
                {
         | 
| 1019 | 
            +
                  "epoch": 0.28222013170272814,
         | 
| 1020 | 
            +
                  "grad_norm": 12.895581245422363,
         | 
| 1021 | 
            +
                  "learning_rate": 8.179745592043982e-05,
         | 
| 1022 | 
            +
                  "loss": 0.2281,
         | 
| 1023 | 
            +
                  "step": 12600
         | 
| 1024 | 
            +
                },
         | 
| 1025 | 
            +
                {
         | 
| 1026 | 
            +
                  "epoch": 0.28445997401782913,
         | 
| 1027 | 
            +
                  "grad_norm": 10.54282283782959,
         | 
| 1028 | 
            +
                  "learning_rate": 8.152453699207362e-05,
         | 
| 1029 | 
            +
                  "loss": 0.184,
         | 
| 1030 | 
            +
                  "step": 12700
         | 
| 1031 | 
            +
                },
         | 
| 1032 | 
            +
                {
         | 
| 1033 | 
            +
                  "epoch": 0.2866998163329302,
         | 
| 1034 | 
            +
                  "grad_norm": 7.9730634689331055,
         | 
| 1035 | 
            +
                  "learning_rate": 8.125005012444044e-05,
         | 
| 1036 | 
            +
                  "loss": 0.2525,
         | 
| 1037 | 
            +
                  "step": 12800
         | 
| 1038 | 
            +
                },
         | 
| 1039 | 
            +
                {
         | 
| 1040 | 
            +
                  "epoch": 0.2889396586480312,
         | 
| 1041 | 
            +
                  "grad_norm": 9.222777366638184,
         | 
| 1042 | 
            +
                  "learning_rate": 8.097400896972296e-05,
         | 
| 1043 | 
            +
                  "loss": 0.1912,
         | 
| 1044 | 
            +
                  "step": 12900
         | 
| 1045 | 
            +
                },
         | 
| 1046 | 
            +
                {
         | 
| 1047 | 
            +
                  "epoch": 0.2911795009631322,
         | 
| 1048 | 
            +
                  "grad_norm": 10.500025749206543,
         | 
| 1049 | 
            +
                  "learning_rate": 8.069642725740957e-05,
         | 
| 1050 | 
            +
                  "loss": 0.1948,
         | 
| 1051 | 
            +
                  "step": 13000
         | 
| 1052 | 
            +
                },
         | 
| 1053 | 
            +
                {
         | 
| 1054 | 
            +
                  "epoch": 0.2911795009631322,
         | 
| 1055 | 
            +
                  "eval_avg_non_pair_similarity": 0.0007876502425145761,
         | 
| 1056 | 
            +
                  "eval_avg_pair_similarity": -0.007292054696008563,
         | 
| 1057 | 
            +
                  "eval_loss": 0.18571369349956512,
         | 
| 1058 | 
            +
                  "eval_runtime": 19.4919,
         | 
| 1059 | 
            +
                  "eval_samples_per_second": 25.652,
         | 
| 1060 | 
            +
                  "eval_similarity_ratio": -9.257985718037302,
         | 
| 1061 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 1062 | 
            +
                  "step": 13000
         | 
| 1063 | 
            +
                },
         | 
| 1064 | 
            +
                {
         | 
| 1065 | 
            +
                  "epoch": 0.2934193432782332,
         | 
| 1066 | 
            +
                  "grad_norm": 7.784255504608154,
         | 
| 1067 | 
            +
                  "learning_rate": 8.041731879361164e-05,
         | 
| 1068 | 
            +
                  "loss": 0.214,
         | 
| 1069 | 
            +
                  "step": 13100
         | 
| 1070 | 
            +
                },
         | 
| 1071 | 
            +
                {
         | 
| 1072 | 
            +
                  "epoch": 0.2956591855933342,
         | 
| 1073 | 
            +
                  "grad_norm": 9.356244087219238,
         | 
| 1074 | 
            +
                  "learning_rate": 8.013669746037662e-05,
         | 
| 1075 | 
            +
                  "loss": 0.168,
         | 
| 1076 | 
            +
                  "step": 13200
         | 
| 1077 | 
            +
                },
         | 
| 1078 | 
            +
                {
         | 
| 1079 | 
            +
                  "epoch": 0.29789902790843525,
         | 
| 1080 | 
            +
                  "grad_norm": 8.42744255065918,
         | 
| 1081 | 
            +
                  "learning_rate": 7.985457721499779e-05,
         | 
| 1082 | 
            +
                  "loss": 0.1759,
         | 
| 1083 | 
            +
                  "step": 13300
         | 
| 1084 | 
            +
                },
         | 
| 1085 | 
            +
                {
         | 
| 1086 | 
            +
                  "epoch": 0.30013887022353625,
         | 
| 1087 | 
            +
                  "grad_norm": 8.323335647583008,
         | 
| 1088 | 
            +
                  "learning_rate": 7.957097208931997e-05,
         | 
| 1089 | 
            +
                  "loss": 0.193,
         | 
| 1090 | 
            +
                  "step": 13400
         | 
| 1091 | 
            +
                },
         | 
| 1092 | 
            +
                {
         | 
| 1093 | 
            +
                  "epoch": 0.3023787125386373,
         | 
| 1094 | 
            +
                  "grad_norm": 10.35467529296875,
         | 
| 1095 | 
            +
                  "learning_rate": 7.928589618904158e-05,
         | 
| 1096 | 
            +
                  "loss": 0.244,
         | 
| 1097 | 
            +
                  "step": 13500
         | 
| 1098 | 
            +
                },
         | 
| 1099 | 
            +
                {
         | 
| 1100 | 
            +
                  "epoch": 0.3046185548537383,
         | 
| 1101 | 
            +
                  "grad_norm": 9.027731895446777,
         | 
| 1102 | 
            +
                  "learning_rate": 7.899936369301319e-05,
         | 
| 1103 | 
            +
                  "loss": 0.1878,
         | 
| 1104 | 
            +
                  "step": 13600
         | 
| 1105 | 
            +
                },
         | 
| 1106 | 
            +
                {
         | 
| 1107 | 
            +
                  "epoch": 0.30685839716883934,
         | 
| 1108 | 
            +
                  "grad_norm": 11.577035903930664,
         | 
| 1109 | 
            +
                  "learning_rate": 7.871138885253216e-05,
         | 
| 1110 | 
            +
                  "loss": 0.2033,
         | 
| 1111 | 
            +
                  "step": 13700
         | 
| 1112 | 
            +
                },
         | 
| 1113 | 
            +
                {
         | 
| 1114 | 
            +
                  "epoch": 0.30909823948394033,
         | 
| 1115 | 
            +
                  "grad_norm": 6.524970054626465,
         | 
| 1116 | 
            +
                  "learning_rate": 7.842198599063395e-05,
         | 
| 1117 | 
            +
                  "loss": 0.1792,
         | 
| 1118 | 
            +
                  "step": 13800
         | 
| 1119 | 
            +
                },
         | 
| 1120 | 
            +
                {
         | 
| 1121 | 
            +
                  "epoch": 0.3113380817990413,
         | 
| 1122 | 
            +
                  "grad_norm": 8.987520217895508,
         | 
| 1123 | 
            +
                  "learning_rate": 7.813116950137964e-05,
         | 
| 1124 | 
            +
                  "loss": 0.1936,
         | 
| 1125 | 
            +
                  "step": 13900
         | 
| 1126 | 
            +
                },
         | 
| 1127 | 
            +
                {
         | 
| 1128 | 
            +
                  "epoch": 0.31357792411414237,
         | 
| 1129 | 
            +
                  "grad_norm": 8.995404243469238,
         | 
| 1130 | 
            +
                  "learning_rate": 7.783895384914004e-05,
         | 
| 1131 | 
            +
                  "loss": 0.1831,
         | 
| 1132 | 
            +
                  "step": 14000
         | 
| 1133 | 
            +
                },
         | 
| 1134 | 
            +
                {
         | 
| 1135 | 
            +
                  "epoch": 0.31357792411414237,
         | 
| 1136 | 
            +
                  "eval_avg_non_pair_similarity": 0.000529102375272793,
         | 
| 1137 | 
            +
                  "eval_avg_pair_similarity": -0.001620051197707653,
         | 
| 1138 | 
            +
                  "eval_loss": 0.18957822024822235,
         | 
| 1139 | 
            +
                  "eval_runtime": 19.4615,
         | 
| 1140 | 
            +
                  "eval_samples_per_second": 25.692,
         | 
| 1141 | 
            +
                  "eval_similarity_ratio": -3.061886079933759,
         | 
| 1142 | 
            +
                  "eval_steps_per_second": 0.822,
         | 
| 1143 | 
            +
                  "step": 14000
         | 
| 1144 | 
            +
                },
         | 
| 1145 | 
            +
                {
         | 
| 1146 | 
            +
                  "epoch": 0.31581776642924336,
         | 
| 1147 | 
            +
                  "grad_norm": 6.4864068031311035,
         | 
| 1148 | 
            +
                  "learning_rate": 7.754535356787629e-05,
         | 
| 1149 | 
            +
                  "loss": 0.1976,
         | 
| 1150 | 
            +
                  "step": 14100
         | 
| 1151 | 
            +
                },
         | 
| 1152 | 
            +
                {
         | 
| 1153 | 
            +
                  "epoch": 0.3180576087443444,
         | 
| 1154 | 
            +
                  "grad_norm": 7.537520885467529,
         | 
| 1155 | 
            +
                  "learning_rate": 7.725038326041698e-05,
         | 
| 1156 | 
            +
                  "loss": 0.1935,
         | 
| 1157 | 
            +
                  "step": 14200
         | 
| 1158 | 
            +
                },
         | 
| 1159 | 
            +
                {
         | 
| 1160 | 
            +
                  "epoch": 0.3202974510594454,
         | 
| 1161 | 
            +
                  "grad_norm": 7.547581195831299,
         | 
| 1162 | 
            +
                  "learning_rate": 7.695405759773182e-05,
         | 
| 1163 | 
            +
                  "loss": 0.1706,
         | 
| 1164 | 
            +
                  "step": 14300
         | 
| 1165 | 
            +
                },
         | 
| 1166 | 
            +
                {
         | 
| 1167 | 
            +
                  "epoch": 0.32253729337454645,
         | 
| 1168 | 
            +
                  "grad_norm": 6.900126934051514,
         | 
| 1169 | 
            +
                  "learning_rate": 7.665639131820198e-05,
         | 
| 1170 | 
            +
                  "loss": 0.1479,
         | 
| 1171 | 
            +
                  "step": 14400
         | 
| 1172 | 
            +
                },
         | 
| 1173 | 
            +
                {
         | 
| 1174 | 
            +
                  "epoch": 0.32477713568964744,
         | 
| 1175 | 
            +
                  "grad_norm": 9.628849983215332,
         | 
| 1176 | 
            +
                  "learning_rate": 7.635739922688702e-05,
         | 
| 1177 | 
            +
                  "loss": 0.1649,
         | 
| 1178 | 
            +
                  "step": 14500
         | 
| 1179 | 
            +
                },
         | 
| 1180 | 
            +
                {
         | 
| 1181 | 
            +
                  "epoch": 0.3270169780047485,
         | 
| 1182 | 
            +
                  "grad_norm": 9.103193283081055,
         | 
| 1183 | 
            +
                  "learning_rate": 7.60570961947886e-05,
         | 
| 1184 | 
            +
                  "loss": 0.1672,
         | 
| 1185 | 
            +
                  "step": 14600
         | 
| 1186 | 
            +
                },
         | 
| 1187 | 
            +
                {
         | 
| 1188 | 
            +
                  "epoch": 0.3292568203198495,
         | 
| 1189 | 
            +
                  "grad_norm": 9.142544746398926,
         | 
| 1190 | 
            +
                  "learning_rate": 7.57554971581107e-05,
         | 
| 1191 | 
            +
                  "loss": 0.1831,
         | 
| 1192 | 
            +
                  "step": 14700
         | 
| 1193 | 
            +
                },
         | 
| 1194 | 
            +
                {
         | 
| 1195 | 
            +
                  "epoch": 0.3314966626349505,
         | 
| 1196 | 
            +
                  "grad_norm": 8.968326568603516,
         | 
| 1197 | 
            +
                  "learning_rate": 7.545261711751685e-05,
         | 
| 1198 | 
            +
                  "loss": 0.1566,
         | 
| 1199 | 
            +
                  "step": 14800
         | 
| 1200 | 
            +
                },
         | 
| 1201 | 
            +
                {
         | 
| 1202 | 
            +
                  "epoch": 0.3337365049500515,
         | 
| 1203 | 
            +
                  "grad_norm": 9.484015464782715,
         | 
| 1204 | 
            +
                  "learning_rate": 7.514847113738401e-05,
         | 
| 1205 | 
            +
                  "loss": 0.1949,
         | 
| 1206 | 
            +
                  "step": 14900
         | 
| 1207 | 
            +
                },
         | 
| 1208 | 
            +
                {
         | 
| 1209 | 
            +
                  "epoch": 0.3359763472651525,
         | 
| 1210 | 
            +
                  "grad_norm": 7.016854763031006,
         | 
| 1211 | 
            +
                  "learning_rate": 7.484307434505335e-05,
         | 
| 1212 | 
            +
                  "loss": 0.1419,
         | 
| 1213 | 
            +
                  "step": 15000
         | 
| 1214 | 
            +
                },
         | 
| 1215 | 
            +
                {
         | 
| 1216 | 
            +
                  "epoch": 0.3359763472651525,
         | 
| 1217 | 
            +
                  "eval_avg_non_pair_similarity": 8.844231431561901e-05,
         | 
| 1218 | 
            +
                  "eval_avg_pair_similarity": -0.0006939181396737695,
         | 
| 1219 | 
            +
                  "eval_loss": 0.1548442244529724,
         | 
| 1220 | 
            +
                  "eval_runtime": 19.513,
         | 
| 1221 | 
            +
                  "eval_samples_per_second": 25.624,
         | 
| 1222 | 
            +
                  "eval_similarity_ratio": -7.845997077794952,
         | 
| 1223 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 1224 | 
            +
                  "step": 15000
         | 
| 1225 | 
            +
                },
         | 
| 1226 | 
            +
                {
         | 
| 1227 | 
            +
                  "epoch": 0.33821618958025357,
         | 
| 1228 | 
            +
                  "grad_norm": 7.563048362731934,
         | 
| 1229 | 
            +
                  "learning_rate": 7.453644193007774e-05,
         | 
| 1230 | 
            +
                  "loss": 0.1891,
         | 
| 1231 | 
            +
                  "step": 15100
         | 
| 1232 | 
            +
                },
         | 
| 1233 | 
            +
                {
         | 
| 1234 | 
            +
                  "epoch": 0.34045603189535456,
         | 
| 1235 | 
            +
                  "grad_norm": 7.630728244781494,
         | 
| 1236 | 
            +
                  "learning_rate": 7.422858914346641e-05,
         | 
| 1237 | 
            +
                  "loss": 0.1896,
         | 
| 1238 | 
            +
                  "step": 15200
         | 
| 1239 | 
            +
                },
         | 
| 1240 | 
            +
                {
         | 
| 1241 | 
            +
                  "epoch": 0.3426958742104556,
         | 
| 1242 | 
            +
                  "grad_norm": 7.264196395874023,
         | 
| 1243 | 
            +
                  "learning_rate": 7.391953129692633e-05,
         | 
| 1244 | 
            +
                  "loss": 0.1608,
         | 
| 1245 | 
            +
                  "step": 15300
         | 
| 1246 | 
            +
                },
         | 
| 1247 | 
            +
                {
         | 
| 1248 | 
            +
                  "epoch": 0.3449357165255566,
         | 
| 1249 | 
            +
                  "grad_norm": 10.433218955993652,
         | 
| 1250 | 
            +
                  "learning_rate": 7.360928376210064e-05,
         | 
| 1251 | 
            +
                  "loss": 0.1668,
         | 
| 1252 | 
            +
                  "step": 15400
         | 
| 1253 | 
            +
                },
         | 
| 1254 | 
            +
                {
         | 
| 1255 | 
            +
                  "epoch": 0.3471755588406576,
         | 
| 1256 | 
            +
                  "grad_norm": 7.074268817901611,
         | 
| 1257 | 
            +
                  "learning_rate": 7.329786196980417e-05,
         | 
| 1258 | 
            +
                  "loss": 0.1882,
         | 
| 1259 | 
            +
                  "step": 15500
         | 
| 1260 | 
            +
                },
         | 
| 1261 | 
            +
                {
         | 
| 1262 | 
            +
                  "epoch": 0.34941540115575864,
         | 
| 1263 | 
            +
                  "grad_norm": 8.925777435302734,
         | 
| 1264 | 
            +
                  "learning_rate": 7.298528140925589e-05,
         | 
| 1265 | 
            +
                  "loss": 0.1697,
         | 
| 1266 | 
            +
                  "step": 15600
         | 
| 1267 | 
            +
                },
         | 
| 1268 | 
            +
                {
         | 
| 1269 | 
            +
                  "epoch": 0.35165524347085964,
         | 
| 1270 | 
            +
                  "grad_norm": 9.438268661499023,
         | 
| 1271 | 
            +
                  "learning_rate": 7.267155762730855e-05,
         | 
| 1272 | 
            +
                  "loss": 0.1566,
         | 
| 1273 | 
            +
                  "step": 15700
         | 
| 1274 | 
            +
                },
         | 
| 1275 | 
            +
                {
         | 
| 1276 | 
            +
                  "epoch": 0.3538950857859607,
         | 
| 1277 | 
            +
                  "grad_norm": 8.304781913757324,
         | 
| 1278 | 
            +
                  "learning_rate": 7.235670622767546e-05,
         | 
| 1279 | 
            +
                  "loss": 0.1624,
         | 
| 1280 | 
            +
                  "step": 15800
         | 
| 1281 | 
            +
                },
         | 
| 1282 | 
            +
                {
         | 
| 1283 | 
            +
                  "epoch": 0.3561349281010617,
         | 
| 1284 | 
            +
                  "grad_norm": 6.194468975067139,
         | 
| 1285 | 
            +
                  "learning_rate": 7.204074287015433e-05,
         | 
| 1286 | 
            +
                  "loss": 0.1423,
         | 
| 1287 | 
            +
                  "step": 15900
         | 
| 1288 | 
            +
                },
         | 
| 1289 | 
            +
                {
         | 
| 1290 | 
            +
                  "epoch": 0.3583747704161627,
         | 
| 1291 | 
            +
                  "grad_norm": 10.31971549987793,
         | 
| 1292 | 
            +
                  "learning_rate": 7.172368326984846e-05,
         | 
| 1293 | 
            +
                  "loss": 0.15,
         | 
| 1294 | 
            +
                  "step": 16000
         | 
| 1295 | 
            +
                },
         | 
| 1296 | 
            +
                {
         | 
| 1297 | 
            +
                  "epoch": 0.3583747704161627,
         | 
| 1298 | 
            +
                  "eval_avg_non_pair_similarity": 0.0005423984809662916,
         | 
| 1299 | 
            +
                  "eval_avg_pair_similarity": -0.004194568347651512,
         | 
| 1300 | 
            +
                  "eval_loss": 0.16588900983333588,
         | 
| 1301 | 
            +
                  "eval_runtime": 19.5058,
         | 
| 1302 | 
            +
                  "eval_samples_per_second": 25.633,
         | 
| 1303 | 
            +
                  "eval_similarity_ratio": -7.7333703814561225,
         | 
| 1304 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 1305 | 
            +
                  "step": 16000
         | 
| 1306 | 
            +
                },
         | 
| 1307 | 
            +
                {
         | 
| 1308 | 
            +
                  "epoch": 0.3606146127312637,
         | 
| 1309 | 
            +
                  "grad_norm": 6.6040449142456055,
         | 
| 1310 | 
            +
                  "learning_rate": 7.14055431963851e-05,
         | 
| 1311 | 
            +
                  "loss": 0.1929,
         | 
| 1312 | 
            +
                  "step": 16100
         | 
| 1313 | 
            +
                },
         | 
| 1314 | 
            +
                {
         | 
| 1315 | 
            +
                  "epoch": 0.3628544550463647,
         | 
| 1316 | 
            +
                  "grad_norm": 6.839012622833252,
         | 
| 1317 | 
            +
                  "learning_rate": 7.108633847313109e-05,
         | 
| 1318 | 
            +
                  "loss": 0.169,
         | 
| 1319 | 
            +
                  "step": 16200
         | 
| 1320 | 
            +
                },
         | 
| 1321 | 
            +
                {
         | 
| 1322 | 
            +
                  "epoch": 0.36509429736146576,
         | 
| 1323 | 
            +
                  "grad_norm": 8.55441665649414,
         | 
| 1324 | 
            +
                  "learning_rate": 7.076608497640588e-05,
         | 
| 1325 | 
            +
                  "loss": 0.1772,
         | 
| 1326 | 
            +
                  "step": 16300
         | 
| 1327 | 
            +
                },
         | 
| 1328 | 
            +
                {
         | 
| 1329 | 
            +
                  "epoch": 0.36733413967656675,
         | 
| 1330 | 
            +
                  "grad_norm": 7.641045093536377,
         | 
| 1331 | 
            +
                  "learning_rate": 7.044479863469189e-05,
         | 
| 1332 | 
            +
                  "loss": 0.1544,
         | 
| 1333 | 
            +
                  "step": 16400
         | 
| 1334 | 
            +
                },
         | 
| 1335 | 
            +
                {
         | 
| 1336 | 
            +
                  "epoch": 0.3695739819916678,
         | 
| 1337 | 
            +
                  "grad_norm": 9.20849895477295,
         | 
| 1338 | 
            +
                  "learning_rate": 7.012249542784223e-05,
         | 
| 1339 | 
            +
                  "loss": 0.1485,
         | 
| 1340 | 
            +
                  "step": 16500
         | 
| 1341 | 
            +
                },
         | 
| 1342 | 
            +
                {
         | 
| 1343 | 
            +
                  "epoch": 0.3718138243067688,
         | 
| 1344 | 
            +
                  "grad_norm": 6.943836212158203,
         | 
| 1345 | 
            +
                  "learning_rate": 6.979919138628598e-05,
         | 
| 1346 | 
            +
                  "loss": 0.1611,
         | 
| 1347 | 
            +
                  "step": 16600
         | 
| 1348 | 
            +
                },
         | 
| 1349 | 
            +
                {
         | 
| 1350 | 
            +
                  "epoch": 0.37405366662186984,
         | 
| 1351 | 
            +
                  "grad_norm": 8.36039924621582,
         | 
| 1352 | 
            +
                  "learning_rate": 6.94749025902308e-05,
         | 
| 1353 | 
            +
                  "loss": 0.1646,
         | 
| 1354 | 
            +
                  "step": 16700
         | 
| 1355 | 
            +
                },
         | 
| 1356 | 
            +
                {
         | 
| 1357 | 
            +
                  "epoch": 0.37629350893697083,
         | 
| 1358 | 
            +
                  "grad_norm": 7.000893592834473,
         | 
| 1359 | 
            +
                  "learning_rate": 6.914964516886324e-05,
         | 
| 1360 | 
            +
                  "loss": 0.1719,
         | 
| 1361 | 
            +
                  "step": 16800
         | 
| 1362 | 
            +
                },
         | 
| 1363 | 
            +
                {
         | 
| 1364 | 
            +
                  "epoch": 0.3785333512520719,
         | 
| 1365 | 
            +
                  "grad_norm": 8.178186416625977,
         | 
| 1366 | 
            +
                  "learning_rate": 6.882343529954641e-05,
         | 
| 1367 | 
            +
                  "loss": 0.1528,
         | 
| 1368 | 
            +
                  "step": 16900
         | 
| 1369 | 
            +
                },
         | 
| 1370 | 
            +
                {
         | 
| 1371 | 
            +
                  "epoch": 0.3807731935671729,
         | 
| 1372 | 
            +
                  "grad_norm": 7.016880512237549,
         | 
| 1373 | 
            +
                  "learning_rate": 6.849628920701549e-05,
         | 
| 1374 | 
            +
                  "loss": 0.1609,
         | 
| 1375 | 
            +
                  "step": 17000
         | 
| 1376 | 
            +
                },
         | 
| 1377 | 
            +
                {
         | 
| 1378 | 
            +
                  "epoch": 0.3807731935671729,
         | 
| 1379 | 
            +
                  "eval_avg_non_pair_similarity": -0.0001115500947464265,
         | 
| 1380 | 
            +
                  "eval_avg_pair_similarity": 0.00017968433955684303,
         | 
| 1381 | 
            +
                  "eval_loss": 0.13874633610248566,
         | 
| 1382 | 
            +
                  "eval_runtime": 19.4966,
         | 
| 1383 | 
            +
                  "eval_samples_per_second": 25.646,
         | 
| 1384 | 
            +
                  "eval_similarity_ratio": -1.6107950420418555,
         | 
| 1385 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 1386 | 
            +
                  "step": 17000
         | 
| 1387 | 
            +
                },
         | 
| 1388 | 
            +
                {
         | 
| 1389 | 
            +
                  "epoch": 0.38301303588227387,
         | 
| 1390 | 
            +
                  "grad_norm": 6.156219005584717,
         | 
| 1391 | 
            +
                  "learning_rate": 6.816822316257066e-05,
         | 
| 1392 | 
            +
                  "loss": 0.1405,
         | 
| 1393 | 
            +
                  "step": 17100
         | 
| 1394 | 
            +
                },
         | 
| 1395 | 
            +
                {
         | 
| 1396 | 
            +
                  "epoch": 0.3852528781973749,
         | 
| 1397 | 
            +
                  "grad_norm": 6.131289482116699,
         | 
| 1398 | 
            +
                  "learning_rate": 6.783925348326782e-05,
         | 
| 1399 | 
            +
                  "loss": 0.167,
         | 
| 1400 | 
            +
                  "step": 17200
         | 
| 1401 | 
            +
                },
         | 
| 1402 | 
            +
                {
         | 
| 1403 | 
            +
                  "epoch": 0.3874927205124759,
         | 
| 1404 | 
            +
                  "grad_norm": 6.05889892578125,
         | 
| 1405 | 
            +
                  "learning_rate": 6.750939653110711e-05,
         | 
| 1406 | 
            +
                  "loss": 0.1819,
         | 
| 1407 | 
            +
                  "step": 17300
         | 
| 1408 | 
            +
                },
         | 
| 1409 | 
            +
                {
         | 
| 1410 | 
            +
                  "epoch": 0.38973256282757696,
         | 
| 1411 | 
            +
                  "grad_norm": 6.4408488273620605,
         | 
| 1412 | 
            +
                  "learning_rate": 6.717866871221901e-05,
         | 
| 1413 | 
            +
                  "loss": 0.1518,
         | 
| 1414 | 
            +
                  "step": 17400
         | 
| 1415 | 
            +
                },
         | 
| 1416 | 
            +
                {
         | 
| 1417 | 
            +
                  "epoch": 0.39197240514267795,
         | 
| 1418 | 
            +
                  "grad_norm": 7.979753494262695,
         | 
| 1419 | 
            +
                  "learning_rate": 6.684708647604843e-05,
         | 
| 1420 | 
            +
                  "loss": 0.1812,
         | 
| 1421 | 
            +
                  "step": 17500
         | 
| 1422 | 
            +
                },
         | 
| 1423 | 
            +
                {
         | 
| 1424 | 
            +
                  "epoch": 0.394212247457779,
         | 
| 1425 | 
            +
                  "grad_norm": 6.986364364624023,
         | 
| 1426 | 
            +
                  "learning_rate": 6.65146663145365e-05,
         | 
| 1427 | 
            +
                  "loss": 0.1447,
         | 
| 1428 | 
            +
                  "step": 17600
         | 
| 1429 | 
            +
                },
         | 
| 1430 | 
            +
                {
         | 
| 1431 | 
            +
                  "epoch": 0.39645208977288,
         | 
| 1432 | 
            +
                  "grad_norm": 6.019850730895996,
         | 
| 1433 | 
            +
                  "learning_rate": 6.618142476130032e-05,
         | 
| 1434 | 
            +
                  "loss": 0.1893,
         | 
| 1435 | 
            +
                  "step": 17700
         | 
| 1436 | 
            +
                },
         | 
| 1437 | 
            +
                {
         | 
| 1438 | 
            +
                  "epoch": 0.398691932087981,
         | 
| 1439 | 
            +
                  "grad_norm": 6.467818260192871,
         | 
| 1440 | 
            +
                  "learning_rate": 6.584737839081066e-05,
         | 
| 1441 | 
            +
                  "loss": 0.1751,
         | 
| 1442 | 
            +
                  "step": 17800
         | 
| 1443 | 
            +
                },
         | 
| 1444 | 
            +
                {
         | 
| 1445 | 
            +
                  "epoch": 0.40093177440308203,
         | 
| 1446 | 
            +
                  "grad_norm": 9.779342651367188,
         | 
| 1447 | 
            +
                  "learning_rate": 6.551254381756758e-05,
         | 
| 1448 | 
            +
                  "loss": 0.1524,
         | 
| 1449 | 
            +
                  "step": 17900
         | 
| 1450 | 
            +
                },
         | 
| 1451 | 
            +
                {
         | 
| 1452 | 
            +
                  "epoch": 0.403171616718183,
         | 
| 1453 | 
            +
                  "grad_norm": 6.93033504486084,
         | 
| 1454 | 
            +
                  "learning_rate": 6.517693769527402e-05,
         | 
| 1455 | 
            +
                  "loss": 0.1327,
         | 
| 1456 | 
            +
                  "step": 18000
         | 
| 1457 | 
            +
                },
         | 
| 1458 | 
            +
                {
         | 
| 1459 | 
            +
                  "epoch": 0.403171616718183,
         | 
| 1460 | 
            +
                  "eval_avg_non_pair_similarity": 0.0004680827924466593,
         | 
| 1461 | 
            +
                  "eval_avg_pair_similarity": 0.0004896340477280319,
         | 
| 1462 | 
            +
                  "eval_loss": 0.11614304035902023,
         | 
| 1463 | 
            +
                  "eval_runtime": 19.4704,
         | 
| 1464 | 
            +
                  "eval_samples_per_second": 25.68,
         | 
| 1465 | 
            +
                  "eval_similarity_ratio": 1.0460415457033243,
         | 
| 1466 | 
            +
                  "eval_steps_per_second": 0.822,
         | 
| 1467 | 
            +
                  "step": 18000
         | 
| 1468 | 
            +
                },
         | 
| 1469 | 
            +
                {
         | 
| 1470 | 
            +
                  "epoch": 0.40541145903328407,
         | 
| 1471 | 
            +
                  "grad_norm": 6.358455181121826,
         | 
| 1472 | 
            +
                  "learning_rate": 6.48405767160076e-05,
         | 
| 1473 | 
            +
                  "loss": 0.154,
         | 
| 1474 | 
            +
                  "step": 18100
         | 
| 1475 | 
            +
                },
         | 
| 1476 | 
            +
                {
         | 
| 1477 | 
            +
                  "epoch": 0.40765130134838506,
         | 
| 1478 | 
            +
                  "grad_norm": 7.965555191040039,
         | 
| 1479 | 
            +
                  "learning_rate": 6.450347760939031e-05,
         | 
| 1480 | 
            +
                  "loss": 0.1547,
         | 
| 1481 | 
            +
                  "step": 18200
         | 
| 1482 | 
            +
                },
         | 
| 1483 | 
            +
                {
         | 
| 1484 | 
            +
                  "epoch": 0.4098911436634861,
         | 
| 1485 | 
            +
                  "grad_norm": 8.082962036132812,
         | 
| 1486 | 
            +
                  "learning_rate": 6.416565714175642e-05,
         | 
| 1487 | 
            +
                  "loss": 0.1782,
         | 
| 1488 | 
            +
                  "step": 18300
         | 
| 1489 | 
            +
                },
         | 
| 1490 | 
            +
                {
         | 
| 1491 | 
            +
                  "epoch": 0.4121309859785871,
         | 
| 1492 | 
            +
                  "grad_norm": 6.913635730743408,
         | 
| 1493 | 
            +
                  "learning_rate": 6.382713211531868e-05,
         | 
| 1494 | 
            +
                  "loss": 0.1545,
         | 
| 1495 | 
            +
                  "step": 18400
         | 
| 1496 | 
            +
                },
         | 
| 1497 | 
            +
                {
         | 
| 1498 | 
            +
                  "epoch": 0.4143708282936881,
         | 
| 1499 | 
            +
                  "grad_norm": 7.295111656188965,
         | 
| 1500 | 
            +
                  "learning_rate": 6.348791936733252e-05,
         | 
| 1501 | 
            +
                  "loss": 0.1376,
         | 
| 1502 | 
            +
                  "step": 18500
         | 
| 1503 | 
            +
                },
         | 
| 1504 | 
            +
                {
         | 
| 1505 | 
            +
                  "epoch": 0.41661067060878915,
         | 
| 1506 | 
            +
                  "grad_norm": 7.109374523162842,
         | 
| 1507 | 
            +
                  "learning_rate": 6.314803576925865e-05,
         | 
| 1508 | 
            +
                  "loss": 0.1269,
         | 
| 1509 | 
            +
                  "step": 18600
         | 
| 1510 | 
            +
                },
         | 
| 1511 | 
            +
                {
         | 
| 1512 | 
            +
                  "epoch": 0.41885051292389014,
         | 
| 1513 | 
            +
                  "grad_norm": 6.2317328453063965,
         | 
| 1514 | 
            +
                  "learning_rate": 6.280749822592393e-05,
         | 
| 1515 | 
            +
                  "loss": 0.1545,
         | 
| 1516 | 
            +
                  "step": 18700
         | 
| 1517 | 
            +
                },
         | 
| 1518 | 
            +
                {
         | 
| 1519 | 
            +
                  "epoch": 0.4210903552389912,
         | 
| 1520 | 
            +
                  "grad_norm": 6.809806823730469,
         | 
| 1521 | 
            +
                  "learning_rate": 6.246632367468057e-05,
         | 
| 1522 | 
            +
                  "loss": 0.1367,
         | 
| 1523 | 
            +
                  "step": 18800
         | 
| 1524 | 
            +
                },
         | 
| 1525 | 
            +
                {
         | 
| 1526 | 
            +
                  "epoch": 0.4233301975540922,
         | 
| 1527 | 
            +
                  "grad_norm": 5.076844215393066,
         | 
| 1528 | 
            +
                  "learning_rate": 6.21245290845637e-05,
         | 
| 1529 | 
            +
                  "loss": 0.1353,
         | 
| 1530 | 
            +
                  "step": 18900
         | 
| 1531 | 
            +
                },
         | 
| 1532 | 
            +
                {
         | 
| 1533 | 
            +
                  "epoch": 0.42557003986919323,
         | 
| 1534 | 
            +
                  "grad_norm": 4.954884052276611,
         | 
| 1535 | 
            +
                  "learning_rate": 6.178213145544738e-05,
         | 
| 1536 | 
            +
                  "loss": 0.1507,
         | 
| 1537 | 
            +
                  "step": 19000
         | 
| 1538 | 
            +
                },
         | 
| 1539 | 
            +
                {
         | 
| 1540 | 
            +
                  "epoch": 0.42557003986919323,
         | 
| 1541 | 
            +
                  "eval_avg_non_pair_similarity": 0.0004066981645342978,
         | 
| 1542 | 
            +
                  "eval_avg_pair_similarity": -0.0005262972658965736,
         | 
| 1543 | 
            +
                  "eval_loss": 0.13725824654102325,
         | 
| 1544 | 
            +
                  "eval_runtime": 19.511,
         | 
| 1545 | 
            +
                  "eval_samples_per_second": 25.627,
         | 
| 1546 | 
            +
                  "eval_similarity_ratio": -1.2940733737985428,
         | 
| 1547 | 
            +
                  "eval_steps_per_second": 0.82,
         | 
| 1548 | 
            +
                  "step": 19000
         | 
| 1549 | 
            +
                },
         | 
| 1550 | 
            +
                {
         | 
| 1551 | 
            +
                  "epoch": 0.4278098821842942,
         | 
| 1552 | 
            +
                  "grad_norm": 7.648046493530273,
         | 
| 1553 | 
            +
                  "learning_rate": 6.143914781719913e-05,
         | 
| 1554 | 
            +
                  "loss": 0.1554,
         | 
| 1555 | 
            +
                  "step": 19100
         | 
| 1556 | 
            +
                },
         | 
| 1557 | 
            +
                {
         | 
| 1558 | 
            +
                  "epoch": 0.43004972449939527,
         | 
| 1559 | 
            +
                  "grad_norm": 6.501719951629639,
         | 
| 1560 | 
            +
                  "learning_rate": 6.10955952288328e-05,
         | 
| 1561 | 
            +
                  "loss": 0.1456,
         | 
| 1562 | 
            +
                  "step": 19200
         | 
| 1563 | 
            +
                },
         | 
| 1564 | 
            +
                {
         | 
| 1565 | 
            +
                  "epoch": 0.43228956681449626,
         | 
| 1566 | 
            +
                  "grad_norm": 6.05966854095459,
         | 
| 1567 | 
            +
                  "learning_rate": 6.0751490777660226e-05,
         | 
| 1568 | 
            +
                  "loss": 0.1348,
         | 
| 1569 | 
            +
                  "step": 19300
         | 
| 1570 | 
            +
                },
         | 
| 1571 | 
            +
                {
         | 
| 1572 | 
            +
                  "epoch": 0.43452940912959725,
         | 
| 1573 | 
            +
                  "grad_norm": 9.531146049499512,
         | 
| 1574 | 
            +
                  "learning_rate": 6.0406851578441305e-05,
         | 
| 1575 | 
            +
                  "loss": 0.1729,
         | 
| 1576 | 
            +
                  "step": 19400
         | 
| 1577 | 
            +
                },
         | 
| 1578 | 
            +
                {
         | 
| 1579 | 
            +
                  "epoch": 0.4367692514446983,
         | 
| 1580 | 
            +
                  "grad_norm": 4.878669261932373,
         | 
| 1581 | 
            +
                  "learning_rate": 6.0061694772532705e-05,
         | 
| 1582 | 
            +
                  "loss": 0.1265,
         | 
| 1583 | 
            +
                  "step": 19500
         | 
| 1584 | 
            +
                },
         | 
| 1585 | 
            +
                {
         | 
| 1586 | 
            +
                  "epoch": 0.4390090937597993,
         | 
| 1587 | 
            +
                  "grad_norm": 9.031988143920898,
         | 
| 1588 | 
            +
                  "learning_rate": 5.9716037527035416e-05,
         | 
| 1589 | 
            +
                  "loss": 0.1403,
         | 
| 1590 | 
            +
                  "step": 19600
         | 
| 1591 | 
            +
                },
         | 
| 1592 | 
            +
                {
         | 
| 1593 | 
            +
                  "epoch": 0.44124893607490034,
         | 
| 1594 | 
            +
                  "grad_norm": 10.188375473022461,
         | 
| 1595 | 
            +
                  "learning_rate": 5.93698970339408e-05,
         | 
| 1596 | 
            +
                  "loss": 0.1107,
         | 
| 1597 | 
            +
                  "step": 19700
         | 
| 1598 | 
            +
                },
         | 
| 1599 | 
            +
                {
         | 
| 1600 | 
            +
                  "epoch": 0.44348877839000134,
         | 
| 1601 | 
            +
                  "grad_norm": 5.289632320404053,
         | 
| 1602 | 
            +
                  "learning_rate": 5.902329050927557e-05,
         | 
| 1603 | 
            +
                  "loss": 0.1372,
         | 
| 1604 | 
            +
                  "step": 19800
         | 
| 1605 | 
            +
                },
         | 
| 1606 | 
            +
                {
         | 
| 1607 | 
            +
                  "epoch": 0.4457286207051024,
         | 
| 1608 | 
            +
                  "grad_norm": 6.766297340393066,
         | 
| 1609 | 
            +
                  "learning_rate": 5.867623519224551e-05,
         | 
| 1610 | 
            +
                  "loss": 0.1537,
         | 
| 1611 | 
            +
                  "step": 19900
         | 
| 1612 | 
            +
                },
         | 
| 1613 | 
            +
                {
         | 
| 1614 | 
            +
                  "epoch": 0.4479684630202034,
         | 
| 1615 | 
            +
                  "grad_norm": 6.518314361572266,
         | 
| 1616 | 
            +
                  "learning_rate": 5.8328748344378023e-05,
         | 
| 1617 | 
            +
                  "loss": 0.1797,
         | 
| 1618 | 
            +
                  "step": 20000
         | 
| 1619 | 
            +
                },
         | 
| 1620 | 
            +
                {
         | 
| 1621 | 
            +
                  "epoch": 0.4479684630202034,
         | 
| 1622 | 
            +
                  "eval_avg_non_pair_similarity": 1.2386919107971217e-05,
         | 
| 1623 | 
            +
                  "eval_avg_pair_similarity": -0.0007377016106620431,
         | 
| 1624 | 
            +
                  "eval_loss": 0.15548266470432281,
         | 
| 1625 | 
            +
                  "eval_runtime": 19.4908,
         | 
| 1626 | 
            +
                  "eval_samples_per_second": 25.653,
         | 
| 1627 | 
            +
                  "eval_similarity_ratio": -59.554890464031374,
         | 
| 1628 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 1629 | 
            +
                  "step": 20000
         | 
| 1630 | 
            +
                },
         | 
| 1631 | 
            +
                {
         | 
| 1632 | 
            +
                  "epoch": 0.45020830533530437,
         | 
| 1633 | 
            +
                  "grad_norm": 7.09486722946167,
         | 
| 1634 | 
            +
                  "learning_rate": 5.7980847248663626e-05,
         | 
| 1635 | 
            +
                  "loss": 0.1493,
         | 
| 1636 | 
            +
                  "step": 20100
         | 
| 1637 | 
            +
                },
         | 
| 1638 | 
            +
                {
         | 
| 1639 | 
            +
                  "epoch": 0.4524481476504054,
         | 
| 1640 | 
            +
                  "grad_norm": 5.606503486633301,
         | 
| 1641 | 
            +
                  "learning_rate": 5.763254920869631e-05,
         | 
| 1642 | 
            +
                  "loss": 0.1242,
         | 
| 1643 | 
            +
                  "step": 20200
         | 
| 1644 | 
            +
                },
         | 
| 1645 | 
            +
                {
         | 
| 1646 | 
            +
                  "epoch": 0.4546879899655064,
         | 
| 1647 | 
            +
                  "grad_norm": 8.37496566772461,
         | 
| 1648 | 
            +
                  "learning_rate": 5.72838715478129e-05,
         | 
| 1649 | 
            +
                  "loss": 0.1732,
         | 
| 1650 | 
            +
                  "step": 20300
         | 
| 1651 | 
            +
                },
         | 
| 1652 | 
            +
                {
         | 
| 1653 | 
            +
                  "epoch": 0.45692783228060746,
         | 
| 1654 | 
            +
                  "grad_norm": 6.157011985778809,
         | 
| 1655 | 
            +
                  "learning_rate": 5.6934831608231544e-05,
         | 
| 1656 | 
            +
                  "loss": 0.1378,
         | 
| 1657 | 
            +
                  "step": 20400
         | 
| 1658 | 
            +
                },
         | 
| 1659 | 
            +
                {
         | 
| 1660 | 
            +
                  "epoch": 0.45916767459570845,
         | 
| 1661 | 
            +
                  "grad_norm": 6.028346061706543,
         | 
| 1662 | 
            +
                  "learning_rate": 5.658544675018901e-05,
         | 
| 1663 | 
            +
                  "loss": 0.1388,
         | 
| 1664 | 
            +
                  "step": 20500
         | 
| 1665 | 
            +
                },
         | 
| 1666 | 
            +
                {
         | 
| 1667 | 
            +
                  "epoch": 0.4614075169108095,
         | 
| 1668 | 
            +
                  "grad_norm": 5.829131603240967,
         | 
| 1669 | 
            +
                  "learning_rate": 5.623573435107735e-05,
         | 
| 1670 | 
            +
                  "loss": 0.1355,
         | 
| 1671 | 
            +
                  "step": 20600
         | 
| 1672 | 
            +
                },
         | 
| 1673 | 
            +
                {
         | 
| 1674 | 
            +
                  "epoch": 0.4636473592259105,
         | 
| 1675 | 
            +
                  "grad_norm": 4.870571136474609,
         | 
| 1676 | 
            +
                  "learning_rate": 5.5885711804579543e-05,
         | 
| 1677 | 
            +
                  "loss": 0.1424,
         | 
| 1678 | 
            +
                  "step": 20700
         | 
| 1679 | 
            +
                },
         | 
| 1680 | 
            +
                {
         | 
| 1681 | 
            +
                  "epoch": 0.4658872015410115,
         | 
| 1682 | 
            +
                  "grad_norm": 5.387896537780762,
         | 
| 1683 | 
            +
                  "learning_rate": 5.553539651980439e-05,
         | 
| 1684 | 
            +
                  "loss": 0.123,
         | 
| 1685 | 
            +
                  "step": 20800
         | 
| 1686 | 
            +
                },
         | 
| 1687 | 
            +
                {
         | 
| 1688 | 
            +
                  "epoch": 0.46812704385611253,
         | 
| 1689 | 
            +
                  "grad_norm": 6.630838871002197,
         | 
| 1690 | 
            +
                  "learning_rate": 5.51848059204207e-05,
         | 
| 1691 | 
            +
                  "loss": 0.1464,
         | 
| 1692 | 
            +
                  "step": 20900
         | 
| 1693 | 
            +
                },
         | 
| 1694 | 
            +
                {
         | 
| 1695 | 
            +
                  "epoch": 0.4703668861712135,
         | 
| 1696 | 
            +
                  "grad_norm": 6.7821526527404785,
         | 
| 1697 | 
            +
                  "learning_rate": 5.4833957443790586e-05,
         | 
| 1698 | 
            +
                  "loss": 0.1292,
         | 
| 1699 | 
            +
                  "step": 21000
         | 
| 1700 | 
            +
                },
         | 
| 1701 | 
            +
                {
         | 
| 1702 | 
            +
                  "epoch": 0.4703668861712135,
         | 
| 1703 | 
            +
                  "eval_avg_non_pair_similarity": 0.0003182698469606689,
         | 
| 1704 | 
            +
                  "eval_avg_pair_similarity": -0.00044986815843731163,
         | 
| 1705 | 
            +
                  "eval_loss": 0.12692449986934662,
         | 
| 1706 | 
            +
                  "eval_runtime": 19.486,
         | 
| 1707 | 
            +
                  "eval_samples_per_second": 25.659,
         | 
| 1708 | 
            +
                  "eval_similarity_ratio": -1.4134802989769413,
         | 
| 1709 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 1710 | 
            +
                  "step": 21000
         | 
| 1711 | 
            +
                },
         | 
| 1712 | 
            +
                {
         | 
| 1713 | 
            +
                  "epoch": 0.4726067284863146,
         | 
| 1714 | 
            +
                  "grad_norm": 7.282751560211182,
         | 
| 1715 | 
            +
                  "learning_rate": 5.4482868540102236e-05,
         | 
| 1716 | 
            +
                  "loss": 0.1064,
         | 
| 1717 | 
            +
                  "step": 21100
         | 
| 1718 | 
            +
                },
         | 
| 1719 | 
            +
                {
         | 
| 1720 | 
            +
                  "epoch": 0.47484657080141557,
         | 
| 1721 | 
            +
                  "grad_norm": 6.863794326782227,
         | 
| 1722 | 
            +
                  "learning_rate": 5.4131556671502006e-05,
         | 
| 1723 | 
            +
                  "loss": 0.1167,
         | 
| 1724 | 
            +
                  "step": 21200
         | 
| 1725 | 
            +
                },
         | 
| 1726 | 
            +
                {
         | 
| 1727 | 
            +
                  "epoch": 0.4770864131165166,
         | 
| 1728 | 
            +
                  "grad_norm": 9.730511665344238,
         | 
| 1729 | 
            +
                  "learning_rate": 5.378003931122585e-05,
         | 
| 1730 | 
            +
                  "loss": 0.1936,
         | 
| 1731 | 
            +
                  "step": 21300
         | 
| 1732 | 
            +
                },
         | 
| 1733 | 
            +
                {
         | 
| 1734 | 
            +
                  "epoch": 0.4793262554316176,
         | 
| 1735 | 
            +
                  "grad_norm": 6.049126625061035,
         | 
| 1736 | 
            +
                  "learning_rate": 5.3428333942730304e-05,
         | 
| 1737 | 
            +
                  "loss": 0.1137,
         | 
| 1738 | 
            +
                  "step": 21400
         | 
| 1739 | 
            +
                },
         | 
| 1740 | 
            +
                {
         | 
| 1741 | 
            +
                  "epoch": 0.48156609774671866,
         | 
| 1742 | 
            +
                  "grad_norm": 6.33958625793457,
         | 
| 1743 | 
            +
                  "learning_rate": 5.3076458058822885e-05,
         | 
| 1744 | 
            +
                  "loss": 0.1135,
         | 
| 1745 | 
            +
                  "step": 21500
         | 
| 1746 | 
            +
                },
         | 
| 1747 | 
            +
                {
         | 
| 1748 | 
            +
                  "epoch": 0.48380594006181965,
         | 
| 1749 | 
            +
                  "grad_norm": 8.29135799407959,
         | 
| 1750 | 
            +
                  "learning_rate": 5.272442916079208e-05,
         | 
| 1751 | 
            +
                  "loss": 0.1355,
         | 
| 1752 | 
            +
                  "step": 21600
         | 
| 1753 | 
            +
                },
         | 
| 1754 | 
            +
                {
         | 
| 1755 | 
            +
                  "epoch": 0.48604578237692064,
         | 
| 1756 | 
            +
                  "grad_norm": 5.330431938171387,
         | 
| 1757 | 
            +
                  "learning_rate": 5.2372264757536796e-05,
         | 
| 1758 | 
            +
                  "loss": 0.1196,
         | 
| 1759 | 
            +
                  "step": 21700
         | 
| 1760 | 
            +
                },
         | 
| 1761 | 
            +
                {
         | 
| 1762 | 
            +
                  "epoch": 0.4882856246920217,
         | 
| 1763 | 
            +
                  "grad_norm": 4.634214401245117,
         | 
| 1764 | 
            +
                  "learning_rate": 5.2019982364695616e-05,
         | 
| 1765 | 
            +
                  "loss": 0.1437,
         | 
| 1766 | 
            +
                  "step": 21800
         | 
| 1767 | 
            +
                },
         | 
| 1768 | 
            +
                {
         | 
| 1769 | 
            +
                  "epoch": 0.4905254670071227,
         | 
| 1770 | 
            +
                  "grad_norm": 6.431977272033691,
         | 
| 1771 | 
            +
                  "learning_rate": 5.166759950377559e-05,
         | 
| 1772 | 
            +
                  "loss": 0.1234,
         | 
| 1773 | 
            +
                  "step": 21900
         | 
| 1774 | 
            +
                },
         | 
| 1775 | 
            +
                {
         | 
| 1776 | 
            +
                  "epoch": 0.49276530932222373,
         | 
| 1777 | 
            +
                  "grad_norm": 5.671669960021973,
         | 
| 1778 | 
            +
                  "learning_rate": 5.131513370128075e-05,
         | 
| 1779 | 
            +
                  "loss": 0.1102,
         | 
| 1780 | 
            +
                  "step": 22000
         | 
| 1781 | 
            +
                },
         | 
| 1782 | 
            +
                {
         | 
| 1783 | 
            +
                  "epoch": 0.49276530932222373,
         | 
| 1784 | 
            +
                  "eval_avg_non_pair_similarity": 7.926299255052003e-05,
         | 
| 1785 | 
            +
                  "eval_avg_pair_similarity": -0.0031928994464688,
         | 
| 1786 | 
            +
                  "eval_loss": 0.10579516738653183,
         | 
| 1787 | 
            +
                  "eval_runtime": 19.4888,
         | 
| 1788 | 
            +
                  "eval_samples_per_second": 25.656,
         | 
| 1789 | 
            +
                  "eval_similarity_ratio": -40.2823479624963,
         | 
| 1790 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 1791 | 
            +
                  "step": 22000
         | 
| 1792 | 
            +
                },
         | 
| 1793 | 
            +
                {
         | 
| 1794 | 
            +
                  "epoch": 0.4950051516373247,
         | 
| 1795 | 
            +
                  "grad_norm": 5.917268753051758,
         | 
| 1796 | 
            +
                  "learning_rate": 5.09626024878404e-05,
         | 
| 1797 | 
            +
                  "loss": 0.0997,
         | 
| 1798 | 
            +
                  "step": 22100
         | 
| 1799 | 
            +
                },
         | 
| 1800 | 
            +
                {
         | 
| 1801 | 
            +
                  "epoch": 0.4972449939524258,
         | 
| 1802 | 
            +
                  "grad_norm": 6.4815993309021,
         | 
| 1803 | 
            +
                  "learning_rate": 5.0610023397337167e-05,
         | 
| 1804 | 
            +
                  "loss": 0.1541,
         | 
| 1805 | 
            +
                  "step": 22200
         | 
| 1806 | 
            +
                },
         | 
| 1807 | 
            +
                {
         | 
| 1808 | 
            +
                  "epoch": 0.49948483626752677,
         | 
| 1809 | 
            +
                  "grad_norm": 6.020129680633545,
         | 
| 1810 | 
            +
                  "learning_rate": 5.025741396603502e-05,
         | 
| 1811 | 
            +
                  "loss": 0.15,
         | 
| 1812 | 
            +
                  "step": 22300
         | 
| 1813 | 
            +
                },
         | 
| 1814 | 
            +
                {
         | 
| 1815 | 
            +
                  "epoch": 0.5017246785826278,
         | 
| 1816 | 
            +
                  "grad_norm": 5.328291416168213,
         | 
| 1817 | 
            +
                  "learning_rate": 4.990479173170691e-05,
         | 
| 1818 | 
            +
                  "loss": 0.1403,
         | 
| 1819 | 
            +
                  "step": 22400
         | 
| 1820 | 
            +
                },
         | 
| 1821 | 
            +
                {
         | 
| 1822 | 
            +
                  "epoch": 0.5039645208977288,
         | 
| 1823 | 
            +
                  "grad_norm": 4.73598051071167,
         | 
| 1824 | 
            +
                  "learning_rate": 4.955217423276261e-05,
         | 
| 1825 | 
            +
                  "loss": 0.1258,
         | 
| 1826 | 
            +
                  "step": 22500
         | 
| 1827 | 
            +
                },
         | 
| 1828 | 
            +
                {
         | 
| 1829 | 
            +
                  "epoch": 0.5062043632128298,
         | 
| 1830 | 
            +
                  "grad_norm": 5.456547737121582,
         | 
| 1831 | 
            +
                  "learning_rate": 4.91995790073764e-05,
         | 
| 1832 | 
            +
                  "loss": 0.1275,
         | 
| 1833 | 
            +
                  "step": 22600
         | 
| 1834 | 
            +
                },
         | 
| 1835 | 
            +
                {
         | 
| 1836 | 
            +
                  "epoch": 0.5084442055279308,
         | 
| 1837 | 
            +
                  "grad_norm": 6.9049153327941895,
         | 
| 1838 | 
            +
                  "learning_rate": 4.884702359261467e-05,
         | 
| 1839 | 
            +
                  "loss": 0.1477,
         | 
| 1840 | 
            +
                  "step": 22700
         | 
| 1841 | 
            +
                },
         | 
| 1842 | 
            +
                {
         | 
| 1843 | 
            +
                  "epoch": 0.5106840478430319,
         | 
| 1844 | 
            +
                  "grad_norm": 5.124217510223389,
         | 
| 1845 | 
            +
                  "learning_rate": 4.84945255235638e-05,
         | 
| 1846 | 
            +
                  "loss": 0.1157,
         | 
| 1847 | 
            +
                  "step": 22800
         | 
| 1848 | 
            +
                },
         | 
| 1849 | 
            +
                {
         | 
| 1850 | 
            +
                  "epoch": 0.5129238901581329,
         | 
| 1851 | 
            +
                  "grad_norm": 7.1598358154296875,
         | 
| 1852 | 
            +
                  "learning_rate": 4.814210233245791e-05,
         | 
| 1853 | 
            +
                  "loss": 0.1233,
         | 
| 1854 | 
            +
                  "step": 22900
         | 
| 1855 | 
            +
                },
         | 
| 1856 | 
            +
                {
         | 
| 1857 | 
            +
                  "epoch": 0.5151637324732339,
         | 
| 1858 | 
            +
                  "grad_norm": 6.744624137878418,
         | 
| 1859 | 
            +
                  "learning_rate": 4.778977154780698e-05,
         | 
| 1860 | 
            +
                  "loss": 0.1158,
         | 
| 1861 | 
            +
                  "step": 23000
         | 
| 1862 | 
            +
                },
         | 
| 1863 | 
            +
                {
         | 
| 1864 | 
            +
                  "epoch": 0.5151637324732339,
         | 
| 1865 | 
            +
                  "eval_avg_non_pair_similarity": 2.2767017136340985e-06,
         | 
| 1866 | 
            +
                  "eval_avg_pair_similarity": -0.0032549318633973597,
         | 
| 1867 | 
            +
                  "eval_loss": 0.13024543225765228,
         | 
| 1868 | 
            +
                  "eval_runtime": 19.7369,
         | 
| 1869 | 
            +
                  "eval_samples_per_second": 25.333,
         | 
| 1870 | 
            +
                  "eval_similarity_ratio": -1429.669878976723,
         | 
| 1871 | 
            +
                  "eval_steps_per_second": 0.811,
         | 
| 1872 | 
            +
                  "step": 23000
         | 
| 1873 | 
            +
                },
         | 
| 1874 | 
            +
                {
         | 
| 1875 | 
            +
                  "epoch": 0.5174035747883349,
         | 
| 1876 | 
            +
                  "grad_norm": 6.886088848114014,
         | 
| 1877 | 
            +
                  "learning_rate": 4.743755069352488e-05,
         | 
| 1878 | 
            +
                  "loss": 0.1127,
         | 
| 1879 | 
            +
                  "step": 23100
         | 
| 1880 | 
            +
                },
         | 
| 1881 | 
            +
                {
         | 
| 1882 | 
            +
                  "epoch": 0.5196434171034359,
         | 
| 1883 | 
            +
                  "grad_norm": 4.287947177886963,
         | 
| 1884 | 
            +
                  "learning_rate": 4.7085457288057925e-05,
         | 
| 1885 | 
            +
                  "loss": 0.1112,
         | 
| 1886 | 
            +
                  "step": 23200
         | 
| 1887 | 
            +
                },
         | 
| 1888 | 
            +
                {
         | 
| 1889 | 
            +
                  "epoch": 0.521883259418537,
         | 
| 1890 | 
            +
                  "grad_norm": 7.680822849273682,
         | 
| 1891 | 
            +
                  "learning_rate": 4.673350884351344e-05,
         | 
| 1892 | 
            +
                  "loss": 0.1437,
         | 
| 1893 | 
            +
                  "step": 23300
         | 
| 1894 | 
            +
                },
         | 
| 1895 | 
            +
                {
         | 
| 1896 | 
            +
                  "epoch": 0.524123101733638,
         | 
| 1897 | 
            +
                  "grad_norm": 9.121180534362793,
         | 
| 1898 | 
            +
                  "learning_rate": 4.6381722864788876e-05,
         | 
| 1899 | 
            +
                  "loss": 0.1441,
         | 
| 1900 | 
            +
                  "step": 23400
         | 
| 1901 | 
            +
                },
         | 
| 1902 | 
            +
                {
         | 
| 1903 | 
            +
                  "epoch": 0.526362944048739,
         | 
| 1904 | 
            +
                  "grad_norm": 9.648383140563965,
         | 
| 1905 | 
            +
                  "learning_rate": 4.603011684870104e-05,
         | 
| 1906 | 
            +
                  "loss": 0.1442,
         | 
| 1907 | 
            +
                  "step": 23500
         | 
| 1908 | 
            +
                },
         | 
| 1909 | 
            +
                {
         | 
| 1910 | 
            +
                  "epoch": 0.52860278636384,
         | 
| 1911 | 
            +
                  "grad_norm": 6.871197700500488,
         | 
| 1912 | 
            +
                  "learning_rate": 4.567870828311598e-05,
         | 
| 1913 | 
            +
                  "loss": 0.1007,
         | 
| 1914 | 
            +
                  "step": 23600
         | 
| 1915 | 
            +
                },
         | 
| 1916 | 
            +
                {
         | 
| 1917 | 
            +
                  "epoch": 0.530842628678941,
         | 
| 1918 | 
            +
                  "grad_norm": 6.548398971557617,
         | 
| 1919 | 
            +
                  "learning_rate": 4.5327514646079064e-05,
         | 
| 1920 | 
            +
                  "loss": 0.1391,
         | 
| 1921 | 
            +
                  "step": 23700
         | 
| 1922 | 
            +
                },
         | 
| 1923 | 
            +
                {
         | 
| 1924 | 
            +
                  "epoch": 0.533082470994042,
         | 
| 1925 | 
            +
                  "grad_norm": 4.919002532958984,
         | 
| 1926 | 
            +
                  "learning_rate": 4.4976553404945795e-05,
         | 
| 1927 | 
            +
                  "loss": 0.1413,
         | 
| 1928 | 
            +
                  "step": 23800
         | 
| 1929 | 
            +
                },
         | 
| 1930 | 
            +
                {
         | 
| 1931 | 
            +
                  "epoch": 0.535322313309143,
         | 
| 1932 | 
            +
                  "grad_norm": 5.23176383972168,
         | 
| 1933 | 
            +
                  "learning_rate": 4.462584201551291e-05,
         | 
| 1934 | 
            +
                  "loss": 0.1127,
         | 
| 1935 | 
            +
                  "step": 23900
         | 
| 1936 | 
            +
                },
         | 
| 1937 | 
            +
                {
         | 
| 1938 | 
            +
                  "epoch": 0.537562155624244,
         | 
| 1939 | 
            +
                  "grad_norm": 6.158422946929932,
         | 
| 1940 | 
            +
                  "learning_rate": 4.427539792115033e-05,
         | 
| 1941 | 
            +
                  "loss": 0.1297,
         | 
| 1942 | 
            +
                  "step": 24000
         | 
| 1943 | 
            +
                },
         | 
| 1944 | 
            +
                {
         | 
| 1945 | 
            +
                  "epoch": 0.537562155624244,
         | 
| 1946 | 
            +
                  "eval_avg_non_pair_similarity": 0.0003475586844268507,
         | 
| 1947 | 
            +
                  "eval_avg_pair_similarity": 0.0009371067539323121,
         | 
| 1948 | 
            +
                  "eval_loss": 0.12211039662361145,
         | 
| 1949 | 
            +
                  "eval_runtime": 19.4919,
         | 
| 1950 | 
            +
                  "eval_samples_per_second": 25.652,
         | 
| 1951 | 
            +
                  "eval_similarity_ratio": 2.6962547504104775,
         | 
| 1952 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 1953 | 
            +
                  "step": 24000
         | 
| 1954 | 
            +
                },
         | 
| 1955 | 
            +
                {
         | 
| 1956 | 
            +
                  "epoch": 0.539801997939345,
         | 
| 1957 | 
            +
                  "grad_norm": 6.401062488555908,
         | 
| 1958 | 
            +
                  "learning_rate": 4.3925238551933406e-05,
         | 
| 1959 | 
            +
                  "loss": 0.1066,
         | 
| 1960 | 
            +
                  "step": 24100
         | 
| 1961 | 
            +
                },
         | 
| 1962 | 
            +
                {
         | 
| 1963 | 
            +
                  "epoch": 0.5420418402544461,
         | 
| 1964 | 
            +
                  "grad_norm": 6.289074420928955,
         | 
| 1965 | 
            +
                  "learning_rate": 4.357538132377615e-05,
         | 
| 1966 | 
            +
                  "loss": 0.1388,
         | 
| 1967 | 
            +
                  "step": 24200
         | 
| 1968 | 
            +
                },
         | 
| 1969 | 
            +
                {
         | 
| 1970 | 
            +
                  "epoch": 0.5442816825695471,
         | 
| 1971 | 
            +
                  "grad_norm": 6.771076679229736,
         | 
| 1972 | 
            +
                  "learning_rate": 4.32258436375649e-05,
         | 
| 1973 | 
            +
                  "loss": 0.123,
         | 
| 1974 | 
            +
                  "step": 24300
         | 
| 1975 | 
            +
                },
         | 
| 1976 | 
            +
                {
         | 
| 1977 | 
            +
                  "epoch": 0.5465215248846481,
         | 
| 1978 | 
            +
                  "grad_norm": 4.1949896812438965,
         | 
| 1979 | 
            +
                  "learning_rate": 4.2876642878292966e-05,
         | 
| 1980 | 
            +
                  "loss": 0.1005,
         | 
| 1981 | 
            +
                  "step": 24400
         | 
| 1982 | 
            +
                },
         | 
| 1983 | 
            +
                {
         | 
| 1984 | 
            +
                  "epoch": 0.5487613671997491,
         | 
| 1985 | 
            +
                  "grad_norm": 8.316376686096191,
         | 
| 1986 | 
            +
                  "learning_rate": 4.25277964141958e-05,
         | 
| 1987 | 
            +
                  "loss": 0.1194,
         | 
| 1988 | 
            +
                  "step": 24500
         | 
| 1989 | 
            +
                },
         | 
| 1990 | 
            +
                {
         | 
| 1991 | 
            +
                  "epoch": 0.5510012095148502,
         | 
| 1992 | 
            +
                  "grad_norm": 7.281992435455322,
         | 
| 1993 | 
            +
                  "learning_rate": 4.217932159588734e-05,
         | 
| 1994 | 
            +
                  "loss": 0.1275,
         | 
| 1995 | 
            +
                  "step": 24600
         | 
| 1996 | 
            +
                },
         | 
| 1997 | 
            +
                {
         | 
| 1998 | 
            +
                  "epoch": 0.5532410518299512,
         | 
| 1999 | 
            +
                  "grad_norm": 5.62957763671875,
         | 
| 2000 | 
            +
                  "learning_rate": 4.183123575549684e-05,
         | 
| 2001 | 
            +
                  "loss": 0.0989,
         | 
| 2002 | 
            +
                  "step": 24700
         | 
| 2003 | 
            +
                },
         | 
| 2004 | 
            +
                {
         | 
| 2005 | 
            +
                  "epoch": 0.5554808941450522,
         | 
| 2006 | 
            +
                  "grad_norm": 5.6208930015563965,
         | 
| 2007 | 
            +
                  "learning_rate": 4.148355620580699e-05,
         | 
| 2008 | 
            +
                  "loss": 0.1238,
         | 
| 2009 | 
            +
                  "step": 24800
         | 
| 2010 | 
            +
                },
         | 
| 2011 | 
            +
                {
         | 
| 2012 | 
            +
                  "epoch": 0.5577207364601532,
         | 
| 2013 | 
            +
                  "grad_norm": 5.27440071105957,
         | 
| 2014 | 
            +
                  "learning_rate": 4.113630023939269e-05,
         | 
| 2015 | 
            +
                  "loss": 0.1381,
         | 
| 2016 | 
            +
                  "step": 24900
         | 
| 2017 | 
            +
                },
         | 
| 2018 | 
            +
                {
         | 
| 2019 | 
            +
                  "epoch": 0.5599605787752542,
         | 
| 2020 | 
            +
                  "grad_norm": 7.504971981048584,
         | 
| 2021 | 
            +
                  "learning_rate": 4.0789485127761115e-05,
         | 
| 2022 | 
            +
                  "loss": 0.1047,
         | 
| 2023 | 
            +
                  "step": 25000
         | 
| 2024 | 
            +
                },
         | 
| 2025 | 
            +
                {
         | 
| 2026 | 
            +
                  "epoch": 0.5599605787752542,
         | 
| 2027 | 
            +
                  "eval_avg_non_pair_similarity": -0.0001179015729853973,
         | 
| 2028 | 
            +
                  "eval_avg_pair_similarity": 0.0010876374864019454,
         | 
| 2029 | 
            +
                  "eval_loss": 0.09219632297754288,
         | 
| 2030 | 
            +
                  "eval_runtime": 19.4855,
         | 
| 2031 | 
            +
                  "eval_samples_per_second": 25.66,
         | 
| 2032 | 
            +
                  "eval_similarity_ratio": -9.224961625716858,
         | 
| 2033 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 2034 | 
            +
                  "step": 25000
         | 
| 2035 | 
            +
                },
         | 
| 2036 | 
            +
                {
         | 
| 2037 | 
            +
                  "epoch": 0.5622004210903553,
         | 
| 2038 | 
            +
                  "grad_norm": 9.146899223327637,
         | 
| 2039 | 
            +
                  "learning_rate": 4.044312812049252e-05,
         | 
| 2040 | 
            +
                  "loss": 0.1536,
         | 
| 2041 | 
            +
                  "step": 25100
         | 
| 2042 | 
            +
                },
         | 
| 2043 | 
            +
                {
         | 
| 2044 | 
            +
                  "epoch": 0.5644402634054563,
         | 
| 2045 | 
            +
                  "grad_norm": 5.325754642486572,
         | 
| 2046 | 
            +
                  "learning_rate": 4.009724644438243e-05,
         | 
| 2047 | 
            +
                  "loss": 0.1066,
         | 
| 2048 | 
            +
                  "step": 25200
         | 
| 2049 | 
            +
                },
         | 
| 2050 | 
            +
                {
         | 
| 2051 | 
            +
                  "epoch": 0.5666801057205573,
         | 
| 2052 | 
            +
                  "grad_norm": 6.888172626495361,
         | 
| 2053 | 
            +
                  "learning_rate": 3.975185730258473e-05,
         | 
| 2054 | 
            +
                  "loss": 0.11,
         | 
| 2055 | 
            +
                  "step": 25300
         | 
| 2056 | 
            +
                },
         | 
| 2057 | 
            +
                {
         | 
| 2058 | 
            +
                  "epoch": 0.5689199480356583,
         | 
| 2059 | 
            +
                  "grad_norm": 5.21387243270874,
         | 
| 2060 | 
            +
                  "learning_rate": 3.940697787375612e-05,
         | 
| 2061 | 
            +
                  "loss": 0.0928,
         | 
| 2062 | 
            +
                  "step": 25400
         | 
| 2063 | 
            +
                },
         | 
| 2064 | 
            +
                {
         | 
| 2065 | 
            +
                  "epoch": 0.5711597903507593,
         | 
| 2066 | 
            +
                  "grad_norm": 6.064445972442627,
         | 
| 2067 | 
            +
                  "learning_rate": 3.9062625311201595e-05,
         | 
| 2068 | 
            +
                  "loss": 0.1004,
         | 
| 2069 | 
            +
                  "step": 25500
         | 
| 2070 | 
            +
                },
         | 
| 2071 | 
            +
                {
         | 
| 2072 | 
            +
                  "epoch": 0.5733996326658604,
         | 
| 2073 | 
            +
                  "grad_norm": 10.20885944366455,
         | 
| 2074 | 
            +
                  "learning_rate": 3.871881674202141e-05,
         | 
| 2075 | 
            +
                  "loss": 0.1076,
         | 
| 2076 | 
            +
                  "step": 25600
         | 
| 2077 | 
            +
                },
         | 
| 2078 | 
            +
                {
         | 
| 2079 | 
            +
                  "epoch": 0.5756394749809614,
         | 
| 2080 | 
            +
                  "grad_norm": 5.855322360992432,
         | 
| 2081 | 
            +
                  "learning_rate": 3.8375569266259116e-05,
         | 
| 2082 | 
            +
                  "loss": 0.1287,
         | 
| 2083 | 
            +
                  "step": 25700
         | 
| 2084 | 
            +
                },
         | 
| 2085 | 
            +
                {
         | 
| 2086 | 
            +
                  "epoch": 0.5778793172960623,
         | 
| 2087 | 
            +
                  "grad_norm": 4.730558395385742,
         | 
| 2088 | 
            +
                  "learning_rate": 3.803289995605111e-05,
         | 
| 2089 | 
            +
                  "loss": 0.0928,
         | 
| 2090 | 
            +
                  "step": 25800
         | 
| 2091 | 
            +
                },
         | 
| 2092 | 
            +
                {
         | 
| 2093 | 
            +
                  "epoch": 0.5801191596111633,
         | 
| 2094 | 
            +
                  "grad_norm": 5.415820121765137,
         | 
| 2095 | 
            +
                  "learning_rate": 3.769082585477751e-05,
         | 
| 2096 | 
            +
                  "loss": 0.0993,
         | 
| 2097 | 
            +
                  "step": 25900
         | 
| 2098 | 
            +
                },
         | 
| 2099 | 
            +
                {
         | 
| 2100 | 
            +
                  "epoch": 0.5823590019262644,
         | 
| 2101 | 
            +
                  "grad_norm": 5.65316104888916,
         | 
| 2102 | 
            +
                  "learning_rate": 3.734936397621449e-05,
         | 
| 2103 | 
            +
                  "loss": 0.1053,
         | 
| 2104 | 
            +
                  "step": 26000
         | 
| 2105 | 
            +
                },
         | 
| 2106 | 
            +
                {
         | 
| 2107 | 
            +
                  "epoch": 0.5823590019262644,
         | 
| 2108 | 
            +
                  "eval_avg_non_pair_similarity": -7.923919997991759e-05,
         | 
| 2109 | 
            +
                  "eval_avg_pair_similarity": -0.0013436697054421529,
         | 
| 2110 | 
            +
                  "eval_loss": 0.09676006436347961,
         | 
| 2111 | 
            +
                  "eval_runtime": 19.4919,
         | 
| 2112 | 
            +
                  "eval_samples_per_second": 25.652,
         | 
| 2113 | 
            +
                  "eval_similarity_ratio": 16.957133663422812,
         | 
| 2114 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 2115 | 
            +
                  "step": 26000
         | 
| 2116 | 
            +
                },
         | 
| 2117 | 
            +
                {
         | 
| 2118 | 
            +
                  "epoch": 0.5845988442413654,
         | 
| 2119 | 
            +
                  "grad_norm": 5.778397083282471,
         | 
| 2120 | 
            +
                  "learning_rate": 3.700853130368799e-05,
         | 
| 2121 | 
            +
                  "loss": 0.1046,
         | 
| 2122 | 
            +
                  "step": 26100
         | 
| 2123 | 
            +
                },
         | 
| 2124 | 
            +
                {
         | 
| 2125 | 
            +
                  "epoch": 0.5868386865564664,
         | 
| 2126 | 
            +
                  "grad_norm": 6.368062496185303,
         | 
| 2127 | 
            +
                  "learning_rate": 3.66683447892291e-05,
         | 
| 2128 | 
            +
                  "loss": 0.1121,
         | 
| 2129 | 
            +
                  "step": 26200
         | 
| 2130 | 
            +
                },
         | 
| 2131 | 
            +
                {
         | 
| 2132 | 
            +
                  "epoch": 0.5890785288715674,
         | 
| 2133 | 
            +
                  "grad_norm": 5.751466751098633,
         | 
| 2134 | 
            +
                  "learning_rate": 3.6328821352730826e-05,
         | 
| 2135 | 
            +
                  "loss": 0.1106,
         | 
| 2136 | 
            +
                  "step": 26300
         | 
| 2137 | 
            +
                },
         | 
| 2138 | 
            +
                {
         | 
| 2139 | 
            +
                  "epoch": 0.5913183711866684,
         | 
| 2140 | 
            +
                  "grad_norm": 6.569725036621094,
         | 
| 2141 | 
            +
                  "learning_rate": 3.598997788110669e-05,
         | 
| 2142 | 
            +
                  "loss": 0.1091,
         | 
| 2143 | 
            +
                  "step": 26400
         | 
| 2144 | 
            +
                },
         | 
| 2145 | 
            +
                {
         | 
| 2146 | 
            +
                  "epoch": 0.5935582135017695,
         | 
| 2147 | 
            +
                  "grad_norm": 5.317460536956787,
         | 
| 2148 | 
            +
                  "learning_rate": 3.565183122745061e-05,
         | 
| 2149 | 
            +
                  "loss": 0.1148,
         | 
| 2150 | 
            +
                  "step": 26500
         | 
| 2151 | 
            +
                },
         | 
| 2152 | 
            +
                {
         | 
| 2153 | 
            +
                  "epoch": 0.5957980558168705,
         | 
| 2154 | 
            +
                  "grad_norm": 5.7358903884887695,
         | 
| 2155 | 
            +
                  "learning_rate": 3.53143982101989e-05,
         | 
| 2156 | 
            +
                  "loss": 0.1167,
         | 
| 2157 | 
            +
                  "step": 26600
         | 
| 2158 | 
            +
                },
         | 
| 2159 | 
            +
                {
         | 
| 2160 | 
            +
                  "epoch": 0.5980378981319715,
         | 
| 2161 | 
            +
                  "grad_norm": 4.8382182121276855,
         | 
| 2162 | 
            +
                  "learning_rate": 3.497769561229359e-05,
         | 
| 2163 | 
            +
                  "loss": 0.0897,
         | 
| 2164 | 
            +
                  "step": 26700
         | 
| 2165 | 
            +
                },
         | 
| 2166 | 
            +
                {
         | 
| 2167 | 
            +
                  "epoch": 0.6002777404470725,
         | 
| 2168 | 
            +
                  "grad_norm": 5.444955348968506,
         | 
| 2169 | 
            +
                  "learning_rate": 3.464174018034782e-05,
         | 
| 2170 | 
            +
                  "loss": 0.1103,
         | 
| 2171 | 
            +
                  "step": 26800
         | 
| 2172 | 
            +
                },
         | 
| 2173 | 
            +
                {
         | 
| 2174 | 
            +
                  "epoch": 0.6025175827621736,
         | 
| 2175 | 
            +
                  "grad_norm": 5.66546630859375,
         | 
| 2176 | 
            +
                  "learning_rate": 3.430654862381279e-05,
         | 
| 2177 | 
            +
                  "loss": 0.0923,
         | 
| 2178 | 
            +
                  "step": 26900
         | 
| 2179 | 
            +
                },
         | 
| 2180 | 
            +
                {
         | 
| 2181 | 
            +
                  "epoch": 0.6047574250772746,
         | 
| 2182 | 
            +
                  "grad_norm": 5.193814277648926,
         | 
| 2183 | 
            +
                  "learning_rate": 3.397213761414682e-05,
         | 
| 2184 | 
            +
                  "loss": 0.0934,
         | 
| 2185 | 
            +
                  "step": 27000
         | 
| 2186 | 
            +
                },
         | 
| 2187 | 
            +
                {
         | 
| 2188 | 
            +
                  "epoch": 0.6047574250772746,
         | 
| 2189 | 
            +
                  "eval_avg_non_pair_similarity": 0.0001739923407539225,
         | 
| 2190 | 
            +
                  "eval_avg_pair_similarity": 0.006307185695739463,
         | 
| 2191 | 
            +
                  "eval_loss": 0.13982024788856506,
         | 
| 2192 | 
            +
                  "eval_runtime": 19.4868,
         | 
| 2193 | 
            +
                  "eval_samples_per_second": 25.658,
         | 
| 2194 | 
            +
                  "eval_similarity_ratio": 36.2497893206674,
         | 
| 2195 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 2196 | 
            +
                  "step": 27000
         | 
| 2197 | 
            +
                },
         | 
| 2198 | 
            +
                {
         | 
| 2199 | 
            +
                  "epoch": 0.6069972673923756,
         | 
| 2200 | 
            +
                  "grad_norm": 4.746061325073242,
         | 
| 2201 | 
            +
                  "learning_rate": 3.3638523783986045e-05,
         | 
| 2202 | 
            +
                  "loss": 0.1074,
         | 
| 2203 | 
            +
                  "step": 27100
         | 
| 2204 | 
            +
                },
         | 
| 2205 | 
            +
                {
         | 
| 2206 | 
            +
                  "epoch": 0.6092371097074766,
         | 
| 2207 | 
            +
                  "grad_norm": 7.259909152984619,
         | 
| 2208 | 
            +
                  "learning_rate": 3.33057237263172e-05,
         | 
| 2209 | 
            +
                  "loss": 0.0808,
         | 
| 2210 | 
            +
                  "step": 27200
         | 
| 2211 | 
            +
                },
         | 
| 2212 | 
            +
                {
         | 
| 2213 | 
            +
                  "epoch": 0.6114769520225776,
         | 
| 2214 | 
            +
                  "grad_norm": 5.645957946777344,
         | 
| 2215 | 
            +
                  "learning_rate": 3.297375399365232e-05,
         | 
| 2216 | 
            +
                  "loss": 0.1014,
         | 
| 2217 | 
            +
                  "step": 27300
         | 
| 2218 | 
            +
                },
         | 
| 2219 | 
            +
                {
         | 
| 2220 | 
            +
                  "epoch": 0.6137167943376787,
         | 
| 2221 | 
            +
                  "grad_norm": 6.798257827758789,
         | 
| 2222 | 
            +
                  "learning_rate": 3.264263109720553e-05,
         | 
| 2223 | 
            +
                  "loss": 0.104,
         | 
| 2224 | 
            +
                  "step": 27400
         | 
| 2225 | 
            +
                },
         | 
| 2226 | 
            +
                {
         | 
| 2227 | 
            +
                  "epoch": 0.6159566366527797,
         | 
| 2228 | 
            +
                  "grad_norm": 4.103272438049316,
         | 
| 2229 | 
            +
                  "learning_rate": 3.231237150607169e-05,
         | 
| 2230 | 
            +
                  "loss": 0.102,
         | 
| 2231 | 
            +
                  "step": 27500
         | 
| 2232 | 
            +
                },
         | 
| 2233 | 
            +
                {
         | 
| 2234 | 
            +
                  "epoch": 0.6181964789678807,
         | 
| 2235 | 
            +
                  "grad_norm": 5.683504581451416,
         | 
| 2236 | 
            +
                  "learning_rate": 3.198299164640746e-05,
         | 
| 2237 | 
            +
                  "loss": 0.0738,
         | 
| 2238 | 
            +
                  "step": 27600
         | 
| 2239 | 
            +
                },
         | 
| 2240 | 
            +
                {
         | 
| 2241 | 
            +
                  "epoch": 0.6204363212829817,
         | 
| 2242 | 
            +
                  "grad_norm": 7.115816116333008,
         | 
| 2243 | 
            +
                  "learning_rate": 3.1654507900614075e-05,
         | 
| 2244 | 
            +
                  "loss": 0.114,
         | 
| 2245 | 
            +
                  "step": 27700
         | 
| 2246 | 
            +
                },
         | 
| 2247 | 
            +
                {
         | 
| 2248 | 
            +
                  "epoch": 0.6226761635980826,
         | 
| 2249 | 
            +
                  "grad_norm": 5.121180534362793,
         | 
| 2250 | 
            +
                  "learning_rate": 3.132693660652275e-05,
         | 
| 2251 | 
            +
                  "loss": 0.1276,
         | 
| 2252 | 
            +
                  "step": 27800
         | 
| 2253 | 
            +
                },
         | 
| 2254 | 
            +
                {
         | 
| 2255 | 
            +
                  "epoch": 0.6249160059131837,
         | 
| 2256 | 
            +
                  "grad_norm": 4.287757396697998,
         | 
| 2257 | 
            +
                  "learning_rate": 3.1000294056581956e-05,
         | 
| 2258 | 
            +
                  "loss": 0.124,
         | 
| 2259 | 
            +
                  "step": 27900
         | 
| 2260 | 
            +
                },
         | 
| 2261 | 
            +
                {
         | 
| 2262 | 
            +
                  "epoch": 0.6271558482282847,
         | 
| 2263 | 
            +
                  "grad_norm": 5.313990592956543,
         | 
| 2264 | 
            +
                  "learning_rate": 3.0674596497047114e-05,
         | 
| 2265 | 
            +
                  "loss": 0.0993,
         | 
| 2266 | 
            +
                  "step": 28000
         | 
| 2267 | 
            +
                },
         | 
| 2268 | 
            +
                {
         | 
| 2269 | 
            +
                  "epoch": 0.6271558482282847,
         | 
| 2270 | 
            +
                  "eval_avg_non_pair_similarity": 0.00018286673501572518,
         | 
| 2271 | 
            +
                  "eval_avg_pair_similarity": 0.0014989098869264126,
         | 
| 2272 | 
            +
                  "eval_loss": 0.0850396603345871,
         | 
| 2273 | 
            +
                  "eval_runtime": 19.4997,
         | 
| 2274 | 
            +
                  "eval_samples_per_second": 25.641,
         | 
| 2275 | 
            +
                  "eval_similarity_ratio": 8.196733467120291,
         | 
| 2276 | 
            +
                  "eval_steps_per_second": 0.821,
         | 
| 2277 | 
            +
                  "step": 28000
         | 
| 2278 | 
            +
                }
         | 
| 2279 | 
            +
              ],
         | 
| 2280 | 
            +
              "logging_steps": 100,
         | 
| 2281 | 
            +
              "max_steps": 44646,
         | 
| 2282 | 
            +
              "num_input_tokens_seen": 0,
         | 
| 2283 | 
            +
              "num_train_epochs": 1,
         | 
| 2284 | 
            +
              "save_steps": 1000,
         | 
| 2285 | 
            +
              "stateful_callbacks": {
         | 
| 2286 | 
            +
                "TrainerControl": {
         | 
| 2287 | 
            +
                  "args": {
         | 
| 2288 | 
            +
                    "should_epoch_stop": false,
         | 
| 2289 | 
            +
                    "should_evaluate": false,
         | 
| 2290 | 
            +
                    "should_log": false,
         | 
| 2291 | 
            +
                    "should_save": true,
         | 
| 2292 | 
            +
                    "should_training_stop": false
         | 
| 2293 | 
            +
                  },
         | 
| 2294 | 
            +
                  "attributes": {}
         | 
| 2295 | 
            +
                }
         | 
| 2296 | 
            +
              },
         | 
| 2297 | 
            +
              "total_flos": 0.0,
         | 
| 2298 | 
            +
              "train_batch_size": 32,
         | 
| 2299 | 
            +
              "trial_name": null,
         | 
| 2300 | 
            +
              "trial_params": null
         | 
| 2301 | 
            +
            }
         | 
    	
        checkpoint-28000/training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:7c6bbe0930b5977d5ef83c9c6a2872aea787e9f64c3d133a00319e43c833ad34
         | 
| 3 | 
            +
            size 5112
         | 

