Training in progress, step 100, checkpoint
Browse files- last-checkpoint/config.json +30 -0
- last-checkpoint/generation_config.json +8 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/trainer_state.json +742 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 31989,
|
| 8 |
+
"eos_token_id": 31989,
|
| 9 |
+
"head_dim": 64,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"initializer_range": 0.036084391824351615,
|
| 13 |
+
"intermediate_size": 1920,
|
| 14 |
+
"max_position_embeddings": 8192,
|
| 15 |
+
"mlp_bias": false,
|
| 16 |
+
"model_type": "llama",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 27,
|
| 19 |
+
"num_key_value_heads": 4,
|
| 20 |
+
"pad_token_id": 31989,
|
| 21 |
+
"pretraining_tp": 1,
|
| 22 |
+
"rms_norm_eps": 1e-06,
|
| 23 |
+
"rope_scaling": null,
|
| 24 |
+
"rope_theta": 1000000.0,
|
| 25 |
+
"tie_word_embeddings": true,
|
| 26 |
+
"torch_dtype": "bfloat16",
|
| 27 |
+
"transformers_version": "4.54.1",
|
| 28 |
+
"use_cache": false,
|
| 29 |
+
"vocab_size": 32000
|
| 30 |
+
}
|
last-checkpoint/generation_config.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 31989,
|
| 4 |
+
"eos_token_id": 31989,
|
| 5 |
+
"pad_token_id": 31989,
|
| 6 |
+
"transformers_version": "4.54.1",
|
| 7 |
+
"use_cache": false
|
| 8 |
+
}
|
last-checkpoint/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bd4d7deb85b2a3543b5afa31bbc84f94cbb8c34a94e35e2215c354aebb0376d
|
| 3 |
+
size 373077376
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:16f6b0ee44f3b73f289f7863976838a4d4935e338ff11708d6a81805fb7aaa52
|
| 3 |
+
size 373225035
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a794a6cb9cd4bbd0c53d08db0e20a5536c789bba6f22113385c1c408d58908bd
|
| 3 |
+
size 14645
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fabf68d4ba15fc505c3ddaa1aef5ae6a1cb7856a1ce87040e1d0d9375e28c9bf
|
| 3 |
+
size 1401
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,742 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.2079002079002079,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.002079002079002079,
|
| 14 |
+
"grad_norm": 1.4921875,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 10.8788,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.004158004158004158,
|
| 21 |
+
"grad_norm": 4.5,
|
| 22 |
+
"learning_rate": 4.149377593360996e-06,
|
| 23 |
+
"loss": 10.8665,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.006237006237006237,
|
| 28 |
+
"grad_norm": 1.40625,
|
| 29 |
+
"learning_rate": 8.298755186721992e-06,
|
| 30 |
+
"loss": 10.8779,
|
| 31 |
+
"step": 3
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.008316008316008316,
|
| 35 |
+
"grad_norm": 1.375,
|
| 36 |
+
"learning_rate": 1.2448132780082987e-05,
|
| 37 |
+
"loss": 10.8758,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.010395010395010396,
|
| 42 |
+
"grad_norm": 1.6328125,
|
| 43 |
+
"learning_rate": 1.6597510373443984e-05,
|
| 44 |
+
"loss": 10.8705,
|
| 45 |
+
"step": 5
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.012474012474012475,
|
| 49 |
+
"grad_norm": 1.3984375,
|
| 50 |
+
"learning_rate": 2.074688796680498e-05,
|
| 51 |
+
"loss": 10.8667,
|
| 52 |
+
"step": 6
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.014553014553014554,
|
| 56 |
+
"grad_norm": 1.4296875,
|
| 57 |
+
"learning_rate": 2.4896265560165973e-05,
|
| 58 |
+
"loss": 10.8705,
|
| 59 |
+
"step": 7
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.016632016632016633,
|
| 63 |
+
"grad_norm": 1.3515625,
|
| 64 |
+
"learning_rate": 2.904564315352697e-05,
|
| 65 |
+
"loss": 10.875,
|
| 66 |
+
"step": 8
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.018711018711018712,
|
| 70 |
+
"grad_norm": 1.609375,
|
| 71 |
+
"learning_rate": 3.319502074688797e-05,
|
| 72 |
+
"loss": 10.8695,
|
| 73 |
+
"step": 9
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.02079002079002079,
|
| 77 |
+
"grad_norm": 1.3125,
|
| 78 |
+
"learning_rate": 3.734439834024896e-05,
|
| 79 |
+
"loss": 10.8753,
|
| 80 |
+
"step": 10
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.02286902286902287,
|
| 84 |
+
"grad_norm": 1.40625,
|
| 85 |
+
"learning_rate": 4.149377593360996e-05,
|
| 86 |
+
"loss": 10.8749,
|
| 87 |
+
"step": 11
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.02494802494802495,
|
| 91 |
+
"grad_norm": 1.375,
|
| 92 |
+
"learning_rate": 4.564315352697095e-05,
|
| 93 |
+
"loss": 10.8792,
|
| 94 |
+
"step": 12
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.02702702702702703,
|
| 98 |
+
"grad_norm": 1.328125,
|
| 99 |
+
"learning_rate": 4.9792531120331946e-05,
|
| 100 |
+
"loss": 10.869,
|
| 101 |
+
"step": 13
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.029106029106029108,
|
| 105 |
+
"grad_norm": 1.3984375,
|
| 106 |
+
"learning_rate": 5.394190871369295e-05,
|
| 107 |
+
"loss": 10.8685,
|
| 108 |
+
"step": 14
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.031185031185031187,
|
| 112 |
+
"grad_norm": 1.46875,
|
| 113 |
+
"learning_rate": 5.809128630705394e-05,
|
| 114 |
+
"loss": 10.8719,
|
| 115 |
+
"step": 15
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.033264033264033266,
|
| 119 |
+
"grad_norm": 1.3828125,
|
| 120 |
+
"learning_rate": 6.224066390041494e-05,
|
| 121 |
+
"loss": 10.8719,
|
| 122 |
+
"step": 16
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.035343035343035345,
|
| 126 |
+
"grad_norm": 1.3828125,
|
| 127 |
+
"learning_rate": 6.639004149377594e-05,
|
| 128 |
+
"loss": 10.8723,
|
| 129 |
+
"step": 17
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.037422037422037424,
|
| 133 |
+
"grad_norm": 1.390625,
|
| 134 |
+
"learning_rate": 7.053941908713692e-05,
|
| 135 |
+
"loss": 10.8653,
|
| 136 |
+
"step": 18
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.0395010395010395,
|
| 140 |
+
"grad_norm": 1.3671875,
|
| 141 |
+
"learning_rate": 7.468879668049793e-05,
|
| 142 |
+
"loss": 10.863,
|
| 143 |
+
"step": 19
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.04158004158004158,
|
| 147 |
+
"grad_norm": 1.53125,
|
| 148 |
+
"learning_rate": 7.883817427385891e-05,
|
| 149 |
+
"loss": 10.8578,
|
| 150 |
+
"step": 20
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.04365904365904366,
|
| 154 |
+
"grad_norm": 1.40625,
|
| 155 |
+
"learning_rate": 8.298755186721991e-05,
|
| 156 |
+
"loss": 10.8624,
|
| 157 |
+
"step": 21
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.04573804573804574,
|
| 161 |
+
"grad_norm": 1.3515625,
|
| 162 |
+
"learning_rate": 8.713692946058092e-05,
|
| 163 |
+
"loss": 10.8686,
|
| 164 |
+
"step": 22
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.04781704781704782,
|
| 168 |
+
"grad_norm": 1.53125,
|
| 169 |
+
"learning_rate": 9.12863070539419e-05,
|
| 170 |
+
"loss": 10.8658,
|
| 171 |
+
"step": 23
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.0498960498960499,
|
| 175 |
+
"grad_norm": 4.40625,
|
| 176 |
+
"learning_rate": 9.54356846473029e-05,
|
| 177 |
+
"loss": 10.8098,
|
| 178 |
+
"step": 24
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.05197505197505198,
|
| 182 |
+
"grad_norm": 1.46875,
|
| 183 |
+
"learning_rate": 9.958506224066389e-05,
|
| 184 |
+
"loss": 10.8677,
|
| 185 |
+
"step": 25
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.05405405405405406,
|
| 189 |
+
"grad_norm": 1.4765625,
|
| 190 |
+
"learning_rate": 0.00010373443983402491,
|
| 191 |
+
"loss": 10.8655,
|
| 192 |
+
"step": 26
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.056133056133056136,
|
| 196 |
+
"grad_norm": 4.375,
|
| 197 |
+
"learning_rate": 0.0001078838174273859,
|
| 198 |
+
"loss": 10.8047,
|
| 199 |
+
"step": 27
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.058212058212058215,
|
| 203 |
+
"grad_norm": 1.4609375,
|
| 204 |
+
"learning_rate": 0.0001120331950207469,
|
| 205 |
+
"loss": 10.8632,
|
| 206 |
+
"step": 28
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.060291060291060294,
|
| 210 |
+
"grad_norm": 1.5,
|
| 211 |
+
"learning_rate": 0.00011618257261410788,
|
| 212 |
+
"loss": 10.8634,
|
| 213 |
+
"step": 29
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.062370062370062374,
|
| 217 |
+
"grad_norm": 1.4296875,
|
| 218 |
+
"learning_rate": 0.00012033195020746888,
|
| 219 |
+
"loss": 10.8661,
|
| 220 |
+
"step": 30
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.06444906444906445,
|
| 224 |
+
"grad_norm": 1.296875,
|
| 225 |
+
"learning_rate": 0.00012448132780082987,
|
| 226 |
+
"loss": 10.864,
|
| 227 |
+
"step": 31
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.06652806652806653,
|
| 231 |
+
"grad_norm": 1.453125,
|
| 232 |
+
"learning_rate": 0.00012863070539419086,
|
| 233 |
+
"loss": 10.8622,
|
| 234 |
+
"step": 32
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.06860706860706861,
|
| 238 |
+
"grad_norm": 1.34375,
|
| 239 |
+
"learning_rate": 0.00013278008298755187,
|
| 240 |
+
"loss": 10.8646,
|
| 241 |
+
"step": 33
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.07068607068607069,
|
| 245 |
+
"grad_norm": 1.4921875,
|
| 246 |
+
"learning_rate": 0.0001369294605809129,
|
| 247 |
+
"loss": 10.8593,
|
| 248 |
+
"step": 34
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.07276507276507277,
|
| 252 |
+
"grad_norm": 1.4296875,
|
| 253 |
+
"learning_rate": 0.00014107883817427385,
|
| 254 |
+
"loss": 10.8608,
|
| 255 |
+
"step": 35
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.07484407484407485,
|
| 259 |
+
"grad_norm": 1.2109375,
|
| 260 |
+
"learning_rate": 0.00014522821576763486,
|
| 261 |
+
"loss": 10.8601,
|
| 262 |
+
"step": 36
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.07692307692307693,
|
| 266 |
+
"grad_norm": 1.3046875,
|
| 267 |
+
"learning_rate": 0.00014937759336099585,
|
| 268 |
+
"loss": 10.8584,
|
| 269 |
+
"step": 37
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.079002079002079,
|
| 273 |
+
"grad_norm": 1.4609375,
|
| 274 |
+
"learning_rate": 0.00015352697095435687,
|
| 275 |
+
"loss": 10.8649,
|
| 276 |
+
"step": 38
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.08108108108108109,
|
| 280 |
+
"grad_norm": 1.3671875,
|
| 281 |
+
"learning_rate": 0.00015767634854771783,
|
| 282 |
+
"loss": 10.8509,
|
| 283 |
+
"step": 39
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.08316008316008316,
|
| 287 |
+
"grad_norm": 1.53125,
|
| 288 |
+
"learning_rate": 0.00016182572614107884,
|
| 289 |
+
"loss": 10.8655,
|
| 290 |
+
"step": 40
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.08523908523908524,
|
| 294 |
+
"grad_norm": 1.359375,
|
| 295 |
+
"learning_rate": 0.00016597510373443983,
|
| 296 |
+
"loss": 10.8572,
|
| 297 |
+
"step": 41
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.08731808731808732,
|
| 301 |
+
"grad_norm": 1.421875,
|
| 302 |
+
"learning_rate": 0.00017012448132780084,
|
| 303 |
+
"loss": 10.8498,
|
| 304 |
+
"step": 42
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.0893970893970894,
|
| 308 |
+
"grad_norm": 3.78125,
|
| 309 |
+
"learning_rate": 0.00017427385892116183,
|
| 310 |
+
"loss": 10.7,
|
| 311 |
+
"step": 43
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.09147609147609148,
|
| 315 |
+
"grad_norm": 1.3125,
|
| 316 |
+
"learning_rate": 0.00017842323651452282,
|
| 317 |
+
"loss": 10.8577,
|
| 318 |
+
"step": 44
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.09355509355509356,
|
| 322 |
+
"grad_norm": 1.390625,
|
| 323 |
+
"learning_rate": 0.0001825726141078838,
|
| 324 |
+
"loss": 10.8574,
|
| 325 |
+
"step": 45
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.09563409563409564,
|
| 329 |
+
"grad_norm": 1.46875,
|
| 330 |
+
"learning_rate": 0.00018672199170124482,
|
| 331 |
+
"loss": 10.8341,
|
| 332 |
+
"step": 46
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.09771309771309772,
|
| 336 |
+
"grad_norm": 1.390625,
|
| 337 |
+
"learning_rate": 0.0001908713692946058,
|
| 338 |
+
"loss": 10.8505,
|
| 339 |
+
"step": 47
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.0997920997920998,
|
| 343 |
+
"grad_norm": 1.3671875,
|
| 344 |
+
"learning_rate": 0.0001950207468879668,
|
| 345 |
+
"loss": 10.8296,
|
| 346 |
+
"step": 48
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.10187110187110188,
|
| 350 |
+
"grad_norm": 1.3984375,
|
| 351 |
+
"learning_rate": 0.00019917012448132778,
|
| 352 |
+
"loss": 10.8462,
|
| 353 |
+
"step": 49
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.10395010395010396,
|
| 357 |
+
"grad_norm": 1.375,
|
| 358 |
+
"learning_rate": 0.0002033195020746888,
|
| 359 |
+
"loss": 10.8442,
|
| 360 |
+
"step": 50
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.10602910602910603,
|
| 364 |
+
"grad_norm": 1.3203125,
|
| 365 |
+
"learning_rate": 0.00020746887966804981,
|
| 366 |
+
"loss": 10.8353,
|
| 367 |
+
"step": 51
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.10810810810810811,
|
| 371 |
+
"grad_norm": 1.4609375,
|
| 372 |
+
"learning_rate": 0.0002116182572614108,
|
| 373 |
+
"loss": 10.8277,
|
| 374 |
+
"step": 52
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.1101871101871102,
|
| 378 |
+
"grad_norm": 1.3125,
|
| 379 |
+
"learning_rate": 0.0002157676348547718,
|
| 380 |
+
"loss": 10.8403,
|
| 381 |
+
"step": 53
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.11226611226611227,
|
| 385 |
+
"grad_norm": 1.3359375,
|
| 386 |
+
"learning_rate": 0.00021991701244813278,
|
| 387 |
+
"loss": 10.829,
|
| 388 |
+
"step": 54
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.11434511434511435,
|
| 392 |
+
"grad_norm": 1.421875,
|
| 393 |
+
"learning_rate": 0.0002240663900414938,
|
| 394 |
+
"loss": 10.8103,
|
| 395 |
+
"step": 55
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.11642411642411643,
|
| 399 |
+
"grad_norm": 1.3359375,
|
| 400 |
+
"learning_rate": 0.00022821576763485478,
|
| 401 |
+
"loss": 10.8384,
|
| 402 |
+
"step": 56
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.11850311850311851,
|
| 406 |
+
"grad_norm": 1.3671875,
|
| 407 |
+
"learning_rate": 0.00023236514522821577,
|
| 408 |
+
"loss": 10.8279,
|
| 409 |
+
"step": 57
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.12058212058212059,
|
| 413 |
+
"grad_norm": 1.625,
|
| 414 |
+
"learning_rate": 0.00023651452282157675,
|
| 415 |
+
"loss": 10.8164,
|
| 416 |
+
"step": 58
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.12266112266112267,
|
| 420 |
+
"grad_norm": 1.3671875,
|
| 421 |
+
"learning_rate": 0.00024066390041493777,
|
| 422 |
+
"loss": 10.8323,
|
| 423 |
+
"step": 59
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.12474012474012475,
|
| 427 |
+
"grad_norm": 4.21875,
|
| 428 |
+
"learning_rate": 0.00024481327800829876,
|
| 429 |
+
"loss": 10.6432,
|
| 430 |
+
"step": 60
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.12681912681912683,
|
| 434 |
+
"grad_norm": 1.4375,
|
| 435 |
+
"learning_rate": 0.00024896265560165974,
|
| 436 |
+
"loss": 10.8131,
|
| 437 |
+
"step": 61
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.1288981288981289,
|
| 441 |
+
"grad_norm": 1.4453125,
|
| 442 |
+
"learning_rate": 0.00025311203319502073,
|
| 443 |
+
"loss": 10.8202,
|
| 444 |
+
"step": 62
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.13097713097713098,
|
| 448 |
+
"grad_norm": 2.53125,
|
| 449 |
+
"learning_rate": 0.0002572614107883817,
|
| 450 |
+
"loss": 10.5981,
|
| 451 |
+
"step": 63
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.13305613305613306,
|
| 455 |
+
"grad_norm": 1.3359375,
|
| 456 |
+
"learning_rate": 0.00026141078838174276,
|
| 457 |
+
"loss": 10.8243,
|
| 458 |
+
"step": 64
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.13513513513513514,
|
| 462 |
+
"grad_norm": 1.3125,
|
| 463 |
+
"learning_rate": 0.00026556016597510375,
|
| 464 |
+
"loss": 10.8219,
|
| 465 |
+
"step": 65
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.13721413721413722,
|
| 469 |
+
"grad_norm": 1.4140625,
|
| 470 |
+
"learning_rate": 0.00026970954356846474,
|
| 471 |
+
"loss": 10.7936,
|
| 472 |
+
"step": 66
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.1392931392931393,
|
| 476 |
+
"grad_norm": 1.3203125,
|
| 477 |
+
"learning_rate": 0.0002738589211618258,
|
| 478 |
+
"loss": 10.8229,
|
| 479 |
+
"step": 67
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.14137214137214138,
|
| 483 |
+
"grad_norm": 1.46875,
|
| 484 |
+
"learning_rate": 0.0002780082987551867,
|
| 485 |
+
"loss": 10.7755,
|
| 486 |
+
"step": 68
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.14345114345114346,
|
| 490 |
+
"grad_norm": 1.390625,
|
| 491 |
+
"learning_rate": 0.0002821576763485477,
|
| 492 |
+
"loss": 10.8028,
|
| 493 |
+
"step": 69
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.14553014553014554,
|
| 497 |
+
"grad_norm": 1.5078125,
|
| 498 |
+
"learning_rate": 0.0002863070539419087,
|
| 499 |
+
"loss": 10.7772,
|
| 500 |
+
"step": 70
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.14760914760914762,
|
| 504 |
+
"grad_norm": 1.3984375,
|
| 505 |
+
"learning_rate": 0.00029045643153526973,
|
| 506 |
+
"loss": 10.7781,
|
| 507 |
+
"step": 71
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.1496881496881497,
|
| 511 |
+
"grad_norm": 1.5234375,
|
| 512 |
+
"learning_rate": 0.0002946058091286307,
|
| 513 |
+
"loss": 10.7663,
|
| 514 |
+
"step": 72
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.15176715176715178,
|
| 518 |
+
"grad_norm": 1.328125,
|
| 519 |
+
"learning_rate": 0.0002987551867219917,
|
| 520 |
+
"loss": 10.7976,
|
| 521 |
+
"step": 73
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.15384615384615385,
|
| 525 |
+
"grad_norm": 4.15625,
|
| 526 |
+
"learning_rate": 0.0003029045643153527,
|
| 527 |
+
"loss": 10.5842,
|
| 528 |
+
"step": 74
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.15592515592515593,
|
| 532 |
+
"grad_norm": 1.375,
|
| 533 |
+
"learning_rate": 0.00030705394190871373,
|
| 534 |
+
"loss": 10.795,
|
| 535 |
+
"step": 75
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.158004158004158,
|
| 539 |
+
"grad_norm": 1.375,
|
| 540 |
+
"learning_rate": 0.0003112033195020747,
|
| 541 |
+
"loss": 10.791,
|
| 542 |
+
"step": 76
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.1600831600831601,
|
| 546 |
+
"grad_norm": 1.484375,
|
| 547 |
+
"learning_rate": 0.00031535269709543565,
|
| 548 |
+
"loss": 10.7756,
|
| 549 |
+
"step": 77
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.16216216216216217,
|
| 553 |
+
"grad_norm": 1.421875,
|
| 554 |
+
"learning_rate": 0.00031950207468879664,
|
| 555 |
+
"loss": 10.7924,
|
| 556 |
+
"step": 78
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.16424116424116425,
|
| 560 |
+
"grad_norm": 1.4375,
|
| 561 |
+
"learning_rate": 0.0003236514522821577,
|
| 562 |
+
"loss": 10.7854,
|
| 563 |
+
"step": 79
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.16632016632016633,
|
| 567 |
+
"grad_norm": 1.4296875,
|
| 568 |
+
"learning_rate": 0.00032780082987551867,
|
| 569 |
+
"loss": 10.7742,
|
| 570 |
+
"step": 80
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.1683991683991684,
|
| 574 |
+
"grad_norm": 1.359375,
|
| 575 |
+
"learning_rate": 0.00033195020746887966,
|
| 576 |
+
"loss": 10.7746,
|
| 577 |
+
"step": 81
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.1704781704781705,
|
| 581 |
+
"grad_norm": 1.453125,
|
| 582 |
+
"learning_rate": 0.0003360995850622407,
|
| 583 |
+
"loss": 10.755,
|
| 584 |
+
"step": 82
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.17255717255717257,
|
| 588 |
+
"grad_norm": 1.390625,
|
| 589 |
+
"learning_rate": 0.0003402489626556017,
|
| 590 |
+
"loss": 10.7675,
|
| 591 |
+
"step": 83
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.17463617463617465,
|
| 595 |
+
"grad_norm": 1.6484375,
|
| 596 |
+
"learning_rate": 0.0003443983402489627,
|
| 597 |
+
"loss": 10.7589,
|
| 598 |
+
"step": 84
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.17671517671517672,
|
| 602 |
+
"grad_norm": 1.40625,
|
| 603 |
+
"learning_rate": 0.00034854771784232366,
|
| 604 |
+
"loss": 10.7611,
|
| 605 |
+
"step": 85
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.1787941787941788,
|
| 609 |
+
"grad_norm": 1.8203125,
|
| 610 |
+
"learning_rate": 0.00035269709543568465,
|
| 611 |
+
"loss": 10.775,
|
| 612 |
+
"step": 86
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.18087318087318088,
|
| 616 |
+
"grad_norm": 1.3984375,
|
| 617 |
+
"learning_rate": 0.00035684647302904564,
|
| 618 |
+
"loss": 10.7117,
|
| 619 |
+
"step": 87
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.18295218295218296,
|
| 623 |
+
"grad_norm": 1.34375,
|
| 624 |
+
"learning_rate": 0.00036099585062240663,
|
| 625 |
+
"loss": 10.7534,
|
| 626 |
+
"step": 88
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.18503118503118504,
|
| 630 |
+
"grad_norm": 3.75,
|
| 631 |
+
"learning_rate": 0.0003651452282157676,
|
| 632 |
+
"loss": 10.7575,
|
| 633 |
+
"step": 89
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.18711018711018712,
|
| 637 |
+
"grad_norm": 1.4765625,
|
| 638 |
+
"learning_rate": 0.00036929460580912866,
|
| 639 |
+
"loss": 10.7342,
|
| 640 |
+
"step": 90
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.1891891891891892,
|
| 644 |
+
"grad_norm": 1.3671875,
|
| 645 |
+
"learning_rate": 0.00037344398340248964,
|
| 646 |
+
"loss": 10.7605,
|
| 647 |
+
"step": 91
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.19126819126819128,
|
| 651 |
+
"grad_norm": 1.40625,
|
| 652 |
+
"learning_rate": 0.00037759336099585063,
|
| 653 |
+
"loss": 10.7133,
|
| 654 |
+
"step": 92
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.19334719334719336,
|
| 658 |
+
"grad_norm": 1.40625,
|
| 659 |
+
"learning_rate": 0.0003817427385892116,
|
| 660 |
+
"loss": 10.7354,
|
| 661 |
+
"step": 93
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.19542619542619544,
|
| 665 |
+
"grad_norm": 1.3671875,
|
| 666 |
+
"learning_rate": 0.00038589211618257266,
|
| 667 |
+
"loss": 10.7689,
|
| 668 |
+
"step": 94
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.19750519750519752,
|
| 672 |
+
"grad_norm": 1.34375,
|
| 673 |
+
"learning_rate": 0.0003900414937759336,
|
| 674 |
+
"loss": 10.7537,
|
| 675 |
+
"step": 95
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.1995841995841996,
|
| 679 |
+
"grad_norm": 1.515625,
|
| 680 |
+
"learning_rate": 0.0003941908713692946,
|
| 681 |
+
"loss": 10.7218,
|
| 682 |
+
"step": 96
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.20166320166320167,
|
| 686 |
+
"grad_norm": 1.390625,
|
| 687 |
+
"learning_rate": 0.00039834024896265557,
|
| 688 |
+
"loss": 10.7424,
|
| 689 |
+
"step": 97
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.20374220374220375,
|
| 693 |
+
"grad_norm": 1.4765625,
|
| 694 |
+
"learning_rate": 0.0004024896265560166,
|
| 695 |
+
"loss": 10.7158,
|
| 696 |
+
"step": 98
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.20582120582120583,
|
| 700 |
+
"grad_norm": 1.484375,
|
| 701 |
+
"learning_rate": 0.0004066390041493776,
|
| 702 |
+
"loss": 10.7036,
|
| 703 |
+
"step": 99
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.2079002079002079,
|
| 707 |
+
"grad_norm": 1.4609375,
|
| 708 |
+
"learning_rate": 0.0004107883817427386,
|
| 709 |
+
"loss": 10.6947,
|
| 710 |
+
"step": 100
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.2079002079002079,
|
| 714 |
+
"eval_loss": 10.23933219909668,
|
| 715 |
+
"eval_runtime": 0.6087,
|
| 716 |
+
"eval_samples_per_second": 26.284,
|
| 717 |
+
"eval_steps_per_second": 3.286,
|
| 718 |
+
"step": 100
|
| 719 |
+
}
|
| 720 |
+
],
|
| 721 |
+
"logging_steps": 1,
|
| 722 |
+
"max_steps": 4810,
|
| 723 |
+
"num_input_tokens_seen": 0,
|
| 724 |
+
"num_train_epochs": 10,
|
| 725 |
+
"save_steps": 100,
|
| 726 |
+
"stateful_callbacks": {
|
| 727 |
+
"TrainerControl": {
|
| 728 |
+
"args": {
|
| 729 |
+
"should_epoch_stop": false,
|
| 730 |
+
"should_evaluate": false,
|
| 731 |
+
"should_log": false,
|
| 732 |
+
"should_save": true,
|
| 733 |
+
"should_training_stop": false
|
| 734 |
+
},
|
| 735 |
+
"attributes": {}
|
| 736 |
+
}
|
| 737 |
+
},
|
| 738 |
+
"total_flos": 2.54723638689792e+16,
|
| 739 |
+
"train_batch_size": 32,
|
| 740 |
+
"trial_name": null,
|
| 741 |
+
"trial_params": null
|
| 742 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2176662ce199a6498d6a867ed32a93ee009dc49982d0046d74255209c006f204
|
| 3 |
+
size 5777
|