Training in progress, step 33000, checkpoint
Browse files
checkpoint-33000/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-33000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f9af75994fe7fa8d8326c1738ac1a17f71e9c730b36f3f07dad91b30fa534d4f
|
| 3 |
+
size 1570427506
|
checkpoint-33000/trainer_state.json
ADDED
|
@@ -0,0 +1,2706 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.7391479639833356,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 33000,
|
| 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 |
+
"epoch": 0.6293956905433857,
|
| 2281 |
+
"grad_norm": 5.110395431518555,
|
| 2282 |
+
"learning_rate": 3.03498601271726e-05,
|
| 2283 |
+
"loss": 0.0904,
|
| 2284 |
+
"step": 28100
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.6316355328584867,
|
| 2288 |
+
"grad_norm": 5.829471111297607,
|
| 2289 |
+
"learning_rate": 3.0026101098405923e-05,
|
| 2290 |
+
"loss": 0.1008,
|
| 2291 |
+
"step": 28200
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.6338753751735878,
|
| 2295 |
+
"grad_norm": 4.9259490966796875,
|
| 2296 |
+
"learning_rate": 2.970333551358454e-05,
|
| 2297 |
+
"loss": 0.0813,
|
| 2298 |
+
"step": 28300
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.6361152174886888,
|
| 2302 |
+
"grad_norm": 5.959886074066162,
|
| 2303 |
+
"learning_rate": 2.938157942613484e-05,
|
| 2304 |
+
"loss": 0.0749,
|
| 2305 |
+
"step": 28400
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.6383550598037898,
|
| 2309 |
+
"grad_norm": 6.9880170822143555,
|
| 2310 |
+
"learning_rate": 2.906084883927377e-05,
|
| 2311 |
+
"loss": 0.1147,
|
| 2312 |
+
"step": 28500
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.6405949021188908,
|
| 2316 |
+
"grad_norm": 4.971254825592041,
|
| 2317 |
+
"learning_rate": 2.8741159705212784e-05,
|
| 2318 |
+
"loss": 0.0864,
|
| 2319 |
+
"step": 28600
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.6428347444339918,
|
| 2323 |
+
"grad_norm": 7.111112117767334,
|
| 2324 |
+
"learning_rate": 2.842252792436455e-05,
|
| 2325 |
+
"loss": 0.1095,
|
| 2326 |
+
"step": 28700
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.6450745867490929,
|
| 2330 |
+
"grad_norm": 5.872374057769775,
|
| 2331 |
+
"learning_rate": 2.8104969344552008e-05,
|
| 2332 |
+
"loss": 0.0805,
|
| 2333 |
+
"step": 28800
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.6473144290641939,
|
| 2337 |
+
"grad_norm": 3.890766143798828,
|
| 2338 |
+
"learning_rate": 2.7788499760220206e-05,
|
| 2339 |
+
"loss": 0.1048,
|
| 2340 |
+
"step": 28900
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.6495542713792949,
|
| 2344 |
+
"grad_norm": 6.403942584991455,
|
| 2345 |
+
"learning_rate": 2.7473134911650688e-05,
|
| 2346 |
+
"loss": 0.1073,
|
| 2347 |
+
"step": 29000
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.6495542713792949,
|
| 2351 |
+
"eval_avg_non_pair_similarity": 0.0003677557400541608,
|
| 2352 |
+
"eval_avg_pair_similarity": 0.0012322162021882832,
|
| 2353 |
+
"eval_loss": 0.08355608582496643,
|
| 2354 |
+
"eval_runtime": 19.519,
|
| 2355 |
+
"eval_samples_per_second": 25.616,
|
| 2356 |
+
"eval_similarity_ratio": 3.3506375781022752,
|
| 2357 |
+
"eval_steps_per_second": 0.82,
|
| 2358 |
+
"step": 29000
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 0.6517941136943959,
|
| 2362 |
+
"grad_norm": 6.749320030212402,
|
| 2363 |
+
"learning_rate": 2.7158890484178674e-05,
|
| 2364 |
+
"loss": 0.1191,
|
| 2365 |
+
"step": 29100
|
| 2366 |
+
},
|
| 2367 |
+
{
|
| 2368 |
+
"epoch": 0.654033956009497,
|
| 2369 |
+
"grad_norm": 7.146528720855713,
|
| 2370 |
+
"learning_rate": 2.6845782107412787e-05,
|
| 2371 |
+
"loss": 0.1112,
|
| 2372 |
+
"step": 29200
|
| 2373 |
+
},
|
| 2374 |
+
{
|
| 2375 |
+
"epoch": 0.656273798324598,
|
| 2376 |
+
"grad_norm": 4.999032497406006,
|
| 2377 |
+
"learning_rate": 2.6533825354457927e-05,
|
| 2378 |
+
"loss": 0.0895,
|
| 2379 |
+
"step": 29300
|
| 2380 |
+
},
|
| 2381 |
+
{
|
| 2382 |
+
"epoch": 0.658513640639699,
|
| 2383 |
+
"grad_norm": 5.313070774078369,
|
| 2384 |
+
"learning_rate": 2.6223035741140377e-05,
|
| 2385 |
+
"loss": 0.0788,
|
| 2386 |
+
"step": 29400
|
| 2387 |
+
},
|
| 2388 |
+
{
|
| 2389 |
+
"epoch": 0.6607534829548,
|
| 2390 |
+
"grad_norm": 6.701467037200928,
|
| 2391 |
+
"learning_rate": 2.5913428725236455e-05,
|
| 2392 |
+
"loss": 0.1013,
|
| 2393 |
+
"step": 29500
|
| 2394 |
+
},
|
| 2395 |
+
{
|
| 2396 |
+
"epoch": 0.662993325269901,
|
| 2397 |
+
"grad_norm": 4.250235557556152,
|
| 2398 |
+
"learning_rate": 2.560501970570336e-05,
|
| 2399 |
+
"loss": 0.1368,
|
| 2400 |
+
"step": 29600
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 0.6652331675850021,
|
| 2404 |
+
"grad_norm": 4.871214866638184,
|
| 2405 |
+
"learning_rate": 2.5297824021913473e-05,
|
| 2406 |
+
"loss": 0.088,
|
| 2407 |
+
"step": 29700
|
| 2408 |
+
},
|
| 2409 |
+
{
|
| 2410 |
+
"epoch": 0.667473009900103,
|
| 2411 |
+
"grad_norm": 5.718384742736816,
|
| 2412 |
+
"learning_rate": 2.4991856952891378e-05,
|
| 2413 |
+
"loss": 0.0891,
|
| 2414 |
+
"step": 29800
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 0.669712852215204,
|
| 2418 |
+
"grad_norm": 5.143789768218994,
|
| 2419 |
+
"learning_rate": 2.4687133716553895e-05,
|
| 2420 |
+
"loss": 0.0824,
|
| 2421 |
+
"step": 29900
|
| 2422 |
+
},
|
| 2423 |
+
{
|
| 2424 |
+
"epoch": 0.671952694530305,
|
| 2425 |
+
"grad_norm": 4.942638874053955,
|
| 2426 |
+
"learning_rate": 2.438366946895322e-05,
|
| 2427 |
+
"loss": 0.0934,
|
| 2428 |
+
"step": 30000
|
| 2429 |
+
},
|
| 2430 |
+
{
|
| 2431 |
+
"epoch": 0.671952694530305,
|
| 2432 |
+
"eval_avg_non_pair_similarity": -5.301678925985937e-05,
|
| 2433 |
+
"eval_avg_pair_similarity": 0.0020237803690833973,
|
| 2434 |
+
"eval_loss": 0.09376745671033859,
|
| 2435 |
+
"eval_runtime": 19.5084,
|
| 2436 |
+
"eval_samples_per_second": 25.63,
|
| 2437 |
+
"eval_similarity_ratio": -38.17244305693297,
|
| 2438 |
+
"eval_steps_per_second": 0.82,
|
| 2439 |
+
"step": 30000
|
| 2440 |
+
},
|
| 2441 |
+
{
|
| 2442 |
+
"epoch": 0.674192536845406,
|
| 2443 |
+
"grad_norm": 6.309473991394043,
|
| 2444 |
+
"learning_rate": 2.4081479303523092e-05,
|
| 2445 |
+
"loss": 0.0717,
|
| 2446 |
+
"step": 30100
|
| 2447 |
+
},
|
| 2448 |
+
{
|
| 2449 |
+
"epoch": 0.6764323791605071,
|
| 2450 |
+
"grad_norm": 4.887032508850098,
|
| 2451 |
+
"learning_rate": 2.378057825032802e-05,
|
| 2452 |
+
"loss": 0.1199,
|
| 2453 |
+
"step": 30200
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 0.6786722214756081,
|
| 2457 |
+
"grad_norm": 7.816061019897461,
|
| 2458 |
+
"learning_rate": 2.348098127531595e-05,
|
| 2459 |
+
"loss": 0.1003,
|
| 2460 |
+
"step": 30300
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 0.6809120637907091,
|
| 2464 |
+
"grad_norm": 6.085392951965332,
|
| 2465 |
+
"learning_rate": 2.318270327957357e-05,
|
| 2466 |
+
"loss": 0.078,
|
| 2467 |
+
"step": 30400
|
| 2468 |
+
},
|
| 2469 |
+
{
|
| 2470 |
+
"epoch": 0.6831519061058101,
|
| 2471 |
+
"grad_norm": 8.31521987915039,
|
| 2472 |
+
"learning_rate": 2.2885759098585523e-05,
|
| 2473 |
+
"loss": 0.0676,
|
| 2474 |
+
"step": 30500
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 0.6853917484209112,
|
| 2478 |
+
"grad_norm": 5.450972080230713,
|
| 2479 |
+
"learning_rate": 2.2590163501496243e-05,
|
| 2480 |
+
"loss": 0.0887,
|
| 2481 |
+
"step": 30600
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 0.6876315907360122,
|
| 2485 |
+
"grad_norm": 9.038603782653809,
|
| 2486 |
+
"learning_rate": 2.2295931190375557e-05,
|
| 2487 |
+
"loss": 0.1288,
|
| 2488 |
+
"step": 30700
|
| 2489 |
+
},
|
| 2490 |
+
{
|
| 2491 |
+
"epoch": 0.6898714330511132,
|
| 2492 |
+
"grad_norm": 5.174834251403809,
|
| 2493 |
+
"learning_rate": 2.200307679948739e-05,
|
| 2494 |
+
"loss": 0.1069,
|
| 2495 |
+
"step": 30800
|
| 2496 |
+
},
|
| 2497 |
+
{
|
| 2498 |
+
"epoch": 0.6921112753662142,
|
| 2499 |
+
"grad_norm": 5.187695026397705,
|
| 2500 |
+
"learning_rate": 2.171161489456189e-05,
|
| 2501 |
+
"loss": 0.0913,
|
| 2502 |
+
"step": 30900
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"epoch": 0.6943511176813152,
|
| 2506 |
+
"grad_norm": 5.526557922363281,
|
| 2507 |
+
"learning_rate": 2.1421559972070975e-05,
|
| 2508 |
+
"loss": 0.1087,
|
| 2509 |
+
"step": 31000
|
| 2510 |
+
},
|
| 2511 |
+
{
|
| 2512 |
+
"epoch": 0.6943511176813152,
|
| 2513 |
+
"eval_avg_non_pair_similarity": 3.3580441187455025e-05,
|
| 2514 |
+
"eval_avg_pair_similarity": 0.003614855747204274,
|
| 2515 |
+
"eval_loss": 0.07280989736318588,
|
| 2516 |
+
"eval_runtime": 19.5252,
|
| 2517 |
+
"eval_samples_per_second": 25.608,
|
| 2518 |
+
"eval_similarity_ratio": 107.64765498538807,
|
| 2519 |
+
"eval_steps_per_second": 0.819,
|
| 2520 |
+
"step": 31000
|
| 2521 |
+
},
|
| 2522 |
+
{
|
| 2523 |
+
"epoch": 0.6965909599964163,
|
| 2524 |
+
"grad_norm": 5.897706031799316,
|
| 2525 |
+
"learning_rate": 2.1132926458507374e-05,
|
| 2526 |
+
"loss": 0.0632,
|
| 2527 |
+
"step": 31100
|
| 2528 |
+
},
|
| 2529 |
+
{
|
| 2530 |
+
"epoch": 0.6988308023115173,
|
| 2531 |
+
"grad_norm": 3.5131309032440186,
|
| 2532 |
+
"learning_rate": 2.0845728709666944e-05,
|
| 2533 |
+
"loss": 0.079,
|
| 2534 |
+
"step": 31200
|
| 2535 |
+
},
|
| 2536 |
+
{
|
| 2537 |
+
"epoch": 0.7010706446266183,
|
| 2538 |
+
"grad_norm": 5.50792932510376,
|
| 2539 |
+
"learning_rate": 2.0559981009934905e-05,
|
| 2540 |
+
"loss": 0.0737,
|
| 2541 |
+
"step": 31300
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 0.7033104869417193,
|
| 2545 |
+
"grad_norm": 5.094911575317383,
|
| 2546 |
+
"learning_rate": 2.0275697571575076e-05,
|
| 2547 |
+
"loss": 0.1031,
|
| 2548 |
+
"step": 31400
|
| 2549 |
+
},
|
| 2550 |
+
{
|
| 2551 |
+
"epoch": 0.7055503292568204,
|
| 2552 |
+
"grad_norm": 7.040360927581787,
|
| 2553 |
+
"learning_rate": 1.9992892534023307e-05,
|
| 2554 |
+
"loss": 0.0984,
|
| 2555 |
+
"step": 31500
|
| 2556 |
+
},
|
| 2557 |
+
{
|
| 2558 |
+
"epoch": 0.7077901715719214,
|
| 2559 |
+
"grad_norm": 6.590450286865234,
|
| 2560 |
+
"learning_rate": 1.9711579963183918e-05,
|
| 2561 |
+
"loss": 0.0879,
|
| 2562 |
+
"step": 31600
|
| 2563 |
+
},
|
| 2564 |
+
{
|
| 2565 |
+
"epoch": 0.7100300138870224,
|
| 2566 |
+
"grad_norm": 4.6244330406188965,
|
| 2567 |
+
"learning_rate": 1.9431773850730357e-05,
|
| 2568 |
+
"loss": 0.0966,
|
| 2569 |
+
"step": 31700
|
| 2570 |
+
},
|
| 2571 |
+
{
|
| 2572 |
+
"epoch": 0.7122698562021234,
|
| 2573 |
+
"grad_norm": 6.440681457519531,
|
| 2574 |
+
"learning_rate": 1.915348811340914e-05,
|
| 2575 |
+
"loss": 0.0886,
|
| 2576 |
+
"step": 31800
|
| 2577 |
+
},
|
| 2578 |
+
{
|
| 2579 |
+
"epoch": 0.7145096985172243,
|
| 2580 |
+
"grad_norm": 6.589687347412109,
|
| 2581 |
+
"learning_rate": 1.8876736592347755e-05,
|
| 2582 |
+
"loss": 0.1037,
|
| 2583 |
+
"step": 31900
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"epoch": 0.7167495408323254,
|
| 2587 |
+
"grad_norm": 3.923104763031006,
|
| 2588 |
+
"learning_rate": 1.8601533052366187e-05,
|
| 2589 |
+
"loss": 0.0754,
|
| 2590 |
+
"step": 32000
|
| 2591 |
+
},
|
| 2592 |
+
{
|
| 2593 |
+
"epoch": 0.7167495408323254,
|
| 2594 |
+
"eval_avg_non_pair_similarity": -0.00010670935165721229,
|
| 2595 |
+
"eval_avg_pair_similarity": 0.0034774179267697035,
|
| 2596 |
+
"eval_loss": 0.07078579068183899,
|
| 2597 |
+
"eval_runtime": 19.5208,
|
| 2598 |
+
"eval_samples_per_second": 25.614,
|
| 2599 |
+
"eval_similarity_ratio": -32.587752364388685,
|
| 2600 |
+
"eval_steps_per_second": 0.82,
|
| 2601 |
+
"step": 32000
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 0.7189893831474264,
|
| 2605 |
+
"grad_norm": 4.890777587890625,
|
| 2606 |
+
"learning_rate": 1.832789118129235e-05,
|
| 2607 |
+
"loss": 0.1043,
|
| 2608 |
+
"step": 32100
|
| 2609 |
+
},
|
| 2610 |
+
{
|
| 2611 |
+
"epoch": 0.7212292254625274,
|
| 2612 |
+
"grad_norm": 5.578083515167236,
|
| 2613 |
+
"learning_rate": 1.8055824589281184e-05,
|
| 2614 |
+
"loss": 0.105,
|
| 2615 |
+
"step": 32200
|
| 2616 |
+
},
|
| 2617 |
+
{
|
| 2618 |
+
"epoch": 0.7234690677776284,
|
| 2619 |
+
"grad_norm": 5.605546951293945,
|
| 2620 |
+
"learning_rate": 1.7785346808137943e-05,
|
| 2621 |
+
"loss": 0.0801,
|
| 2622 |
+
"step": 32300
|
| 2623 |
+
},
|
| 2624 |
+
{
|
| 2625 |
+
"epoch": 0.7257089100927294,
|
| 2626 |
+
"grad_norm": 5.415656089782715,
|
| 2627 |
+
"learning_rate": 1.7516471290644876e-05,
|
| 2628 |
+
"loss": 0.0721,
|
| 2629 |
+
"step": 32400
|
| 2630 |
+
},
|
| 2631 |
+
{
|
| 2632 |
+
"epoch": 0.7279487524078305,
|
| 2633 |
+
"grad_norm": 9.364145278930664,
|
| 2634 |
+
"learning_rate": 1.7249211409892407e-05,
|
| 2635 |
+
"loss": 0.0881,
|
| 2636 |
+
"step": 32500
|
| 2637 |
+
},
|
| 2638 |
+
{
|
| 2639 |
+
"epoch": 0.7301885947229315,
|
| 2640 |
+
"grad_norm": 4.526866436004639,
|
| 2641 |
+
"learning_rate": 1.6983580458613758e-05,
|
| 2642 |
+
"loss": 0.0762,
|
| 2643 |
+
"step": 32600
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"epoch": 0.7324284370380325,
|
| 2647 |
+
"grad_norm": 5.538239479064941,
|
| 2648 |
+
"learning_rate": 1.6719591648523963e-05,
|
| 2649 |
+
"loss": 0.0909,
|
| 2650 |
+
"step": 32700
|
| 2651 |
+
},
|
| 2652 |
+
{
|
| 2653 |
+
"epoch": 0.7346682793531335,
|
| 2654 |
+
"grad_norm": 10.04980182647705,
|
| 2655 |
+
"learning_rate": 1.6457258109662704e-05,
|
| 2656 |
+
"loss": 0.1096,
|
| 2657 |
+
"step": 32800
|
| 2658 |
+
},
|
| 2659 |
+
{
|
| 2660 |
+
"epoch": 0.7369081216682346,
|
| 2661 |
+
"grad_norm": 5.6735053062438965,
|
| 2662 |
+
"learning_rate": 1.619659288974125e-05,
|
| 2663 |
+
"loss": 0.0821,
|
| 2664 |
+
"step": 32900
|
| 2665 |
+
},
|
| 2666 |
+
{
|
| 2667 |
+
"epoch": 0.7391479639833356,
|
| 2668 |
+
"grad_norm": 5.209055423736572,
|
| 2669 |
+
"learning_rate": 1.593760895349351e-05,
|
| 2670 |
+
"loss": 0.0864,
|
| 2671 |
+
"step": 33000
|
| 2672 |
+
},
|
| 2673 |
+
{
|
| 2674 |
+
"epoch": 0.7391479639833356,
|
| 2675 |
+
"eval_avg_non_pair_similarity": -0.00013926716210467102,
|
| 2676 |
+
"eval_avg_pair_similarity": -7.746053533628583e-05,
|
| 2677 |
+
"eval_loss": 0.08394056558609009,
|
| 2678 |
+
"eval_runtime": 19.5313,
|
| 2679 |
+
"eval_samples_per_second": 25.6,
|
| 2680 |
+
"eval_similarity_ratio": 0.5562010036369357,
|
| 2681 |
+
"eval_steps_per_second": 0.819,
|
| 2682 |
+
"step": 33000
|
| 2683 |
+
}
|
| 2684 |
+
],
|
| 2685 |
+
"logging_steps": 100,
|
| 2686 |
+
"max_steps": 44646,
|
| 2687 |
+
"num_input_tokens_seen": 0,
|
| 2688 |
+
"num_train_epochs": 1,
|
| 2689 |
+
"save_steps": 1000,
|
| 2690 |
+
"stateful_callbacks": {
|
| 2691 |
+
"TrainerControl": {
|
| 2692 |
+
"args": {
|
| 2693 |
+
"should_epoch_stop": false,
|
| 2694 |
+
"should_evaluate": false,
|
| 2695 |
+
"should_log": false,
|
| 2696 |
+
"should_save": true,
|
| 2697 |
+
"should_training_stop": false
|
| 2698 |
+
},
|
| 2699 |
+
"attributes": {}
|
| 2700 |
+
}
|
| 2701 |
+
},
|
| 2702 |
+
"total_flos": 0.0,
|
| 2703 |
+
"train_batch_size": 32,
|
| 2704 |
+
"trial_name": null,
|
| 2705 |
+
"trial_params": null
|
| 2706 |
+
}
|
checkpoint-33000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c6bbe0930b5977d5ef83c9c6a2872aea787e9f64c3d133a00319e43c833ad34
|
| 3 |
+
size 5112
|