Training in progress, step 40000, checkpoint
Browse files- checkpoint-40000/added_tokens.json +5 -0
- checkpoint-40000/config.json +46 -0
- checkpoint-40000/merges.txt +0 -0
- checkpoint-40000/optimizer.pt +3 -0
- checkpoint-40000/pytorch_model.bin +3 -0
- checkpoint-40000/rng_state.pth +3 -0
- checkpoint-40000/scheduler.pt +3 -0
- checkpoint-40000/special_tokens_map.json +6 -0
- checkpoint-40000/tokenizer_config.json +7 -0
- checkpoint-40000/trainer_state.json +625 -0
- checkpoint-40000/training_args.bin +3 -0
- checkpoint-40000/vocab.json +0 -0
checkpoint-40000/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<bos>": 40478,
|
| 3 |
+
"<eos>": 40479,
|
| 4 |
+
"<pad>": 40480
|
| 5 |
+
}
|
checkpoint-40000/config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openai-gpt",
|
| 3 |
+
"afn": "gelu",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"OpenAIGPTForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"embd_pdrop": 0.1,
|
| 9 |
+
"id2label": {
|
| 10 |
+
"0": "entailment",
|
| 11 |
+
"1": "neutral",
|
| 12 |
+
"2": "contradiction"
|
| 13 |
+
},
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"label2id": {
|
| 16 |
+
"contradiction": 2,
|
| 17 |
+
"entailment": 0,
|
| 18 |
+
"neutral": 1
|
| 19 |
+
},
|
| 20 |
+
"layer_norm_epsilon": 1e-05,
|
| 21 |
+
"model_type": "openai-gpt",
|
| 22 |
+
"n_ctx": 512,
|
| 23 |
+
"n_embd": 768,
|
| 24 |
+
"n_head": 12,
|
| 25 |
+
"n_layer": 6,
|
| 26 |
+
"n_positions": 512,
|
| 27 |
+
"n_special": 0,
|
| 28 |
+
"pad_token_id": 40480,
|
| 29 |
+
"predict_special_tokens": true,
|
| 30 |
+
"problem_type": "single_label_classification",
|
| 31 |
+
"resid_pdrop": 0.1,
|
| 32 |
+
"summary_activation": null,
|
| 33 |
+
"summary_first_dropout": 0.1,
|
| 34 |
+
"summary_proj_to_labels": true,
|
| 35 |
+
"summary_type": "last",
|
| 36 |
+
"summary_use_proj": true,
|
| 37 |
+
"task_specific_params": {
|
| 38 |
+
"text-generation": {
|
| 39 |
+
"do_sample": true,
|
| 40 |
+
"max_length": 50
|
| 41 |
+
}
|
| 42 |
+
},
|
| 43 |
+
"torch_dtype": "float32",
|
| 44 |
+
"transformers_version": "4.33.0.dev0",
|
| 45 |
+
"vocab_size": 40481
|
| 46 |
+
}
|
checkpoint-40000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-40000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b47d93d3ee71162b757697e5b2cd4f4908c57b0f5904bcbf1e4a24d6d1f3dbd
|
| 3 |
+
size 592141189
|
checkpoint-40000/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8e225ab8e852c369bc95af1416cb6d86c538e91dd4fc66afc50a6386126b75f
|
| 3 |
+
size 296072722
|
checkpoint-40000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d1ead06e93fd89d02746666907925807be1459e737e3f90e8bd95294a30e8bdb
|
| 3 |
+
size 14575
|
checkpoint-40000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:afaecb658695b256e23a0085393c3fd9c19e9c601e8ff1bb5388548431bd228a
|
| 3 |
+
size 627
|
checkpoint-40000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<bos>",
|
| 3 |
+
"eos_token": "<eos>",
|
| 4 |
+
"pad_token": "<pad>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
checkpoint-40000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clean_up_tokenization_spaces": true,
|
| 3 |
+
"model_max_length": 512,
|
| 4 |
+
"padding_side": "left",
|
| 5 |
+
"tokenizer_class": "OpenAIGPTTokenizer",
|
| 6 |
+
"unk_token": "<unk>"
|
| 7 |
+
}
|
checkpoint-40000/trainer_state.json
ADDED
|
@@ -0,0 +1,625 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.031366229057312,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-40000",
|
| 4 |
+
"epoch": 1.6297262059973925,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 40000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 2.7777777777777777e-11,
|
| 14 |
+
"loss": 1.05,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 2.7750000000000004e-08,
|
| 20 |
+
"loss": 1.1403,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.04,
|
| 25 |
+
"eval_accuracy": 0.33712574850299404,
|
| 26 |
+
"eval_loss": 1.1030837297439575,
|
| 27 |
+
"eval_runtime": 29.7882,
|
| 28 |
+
"eval_samples_per_second": 168.187,
|
| 29 |
+
"eval_steps_per_second": 21.049,
|
| 30 |
+
"step": 1000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08,
|
| 34 |
+
"learning_rate": 5.5527777777777784e-08,
|
| 35 |
+
"loss": 1.1194,
|
| 36 |
+
"step": 2000
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.08,
|
| 40 |
+
"eval_accuracy": 0.34331337325349304,
|
| 41 |
+
"eval_loss": 1.1002165079116821,
|
| 42 |
+
"eval_runtime": 29.8685,
|
| 43 |
+
"eval_samples_per_second": 167.735,
|
| 44 |
+
"eval_steps_per_second": 20.992,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 8.327777777777778e-08,
|
| 50 |
+
"loss": 1.1194,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.12,
|
| 55 |
+
"eval_accuracy": 0.3471057884231537,
|
| 56 |
+
"eval_loss": 1.101266622543335,
|
| 57 |
+
"eval_runtime": 29.709,
|
| 58 |
+
"eval_samples_per_second": 168.636,
|
| 59 |
+
"eval_steps_per_second": 21.105,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.16,
|
| 64 |
+
"learning_rate": 1.1105555555555557e-07,
|
| 65 |
+
"loss": 1.1166,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16,
|
| 70 |
+
"eval_accuracy": 0.34311377245508984,
|
| 71 |
+
"eval_loss": 1.0984796285629272,
|
| 72 |
+
"eval_runtime": 29.9401,
|
| 73 |
+
"eval_samples_per_second": 167.334,
|
| 74 |
+
"eval_steps_per_second": 20.942,
|
| 75 |
+
"step": 4000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 1.3883333333333335e-07,
|
| 80 |
+
"loss": 1.1137,
|
| 81 |
+
"step": 5000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.2,
|
| 85 |
+
"eval_accuracy": 0.3403193612774451,
|
| 86 |
+
"eval_loss": 1.0974279642105103,
|
| 87 |
+
"eval_runtime": 29.8185,
|
| 88 |
+
"eval_samples_per_second": 168.016,
|
| 89 |
+
"eval_steps_per_second": 21.027,
|
| 90 |
+
"step": 5000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.24,
|
| 94 |
+
"learning_rate": 1.6658333333333335e-07,
|
| 95 |
+
"loss": 1.1109,
|
| 96 |
+
"step": 6000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.24,
|
| 100 |
+
"eval_accuracy": 0.3592814371257485,
|
| 101 |
+
"eval_loss": 1.0984892845153809,
|
| 102 |
+
"eval_runtime": 29.893,
|
| 103 |
+
"eval_samples_per_second": 167.598,
|
| 104 |
+
"eval_steps_per_second": 20.975,
|
| 105 |
+
"step": 6000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 1.9436111111111112e-07,
|
| 110 |
+
"loss": 1.1122,
|
| 111 |
+
"step": 7000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.29,
|
| 115 |
+
"eval_accuracy": 0.36327345309381237,
|
| 116 |
+
"eval_loss": 1.0960686206817627,
|
| 117 |
+
"eval_runtime": 29.8315,
|
| 118 |
+
"eval_samples_per_second": 167.943,
|
| 119 |
+
"eval_steps_per_second": 21.018,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.33,
|
| 124 |
+
"learning_rate": 2.2213888888888891e-07,
|
| 125 |
+
"loss": 1.1091,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.33,
|
| 130 |
+
"eval_accuracy": 0.35728542914171657,
|
| 131 |
+
"eval_loss": 1.0958523750305176,
|
| 132 |
+
"eval_runtime": 29.9494,
|
| 133 |
+
"eval_samples_per_second": 167.282,
|
| 134 |
+
"eval_steps_per_second": 20.935,
|
| 135 |
+
"step": 8000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 2.4988888888888893e-07,
|
| 140 |
+
"loss": 1.1077,
|
| 141 |
+
"step": 9000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.37,
|
| 145 |
+
"eval_accuracy": 0.35528942115768464,
|
| 146 |
+
"eval_loss": 1.1003851890563965,
|
| 147 |
+
"eval_runtime": 29.9762,
|
| 148 |
+
"eval_samples_per_second": 167.133,
|
| 149 |
+
"eval_steps_per_second": 20.917,
|
| 150 |
+
"step": 9000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.41,
|
| 154 |
+
"learning_rate": 2.776666666666667e-07,
|
| 155 |
+
"loss": 1.1091,
|
| 156 |
+
"step": 10000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.41,
|
| 160 |
+
"eval_accuracy": 0.3790419161676647,
|
| 161 |
+
"eval_loss": 1.0951762199401855,
|
| 162 |
+
"eval_runtime": 29.8593,
|
| 163 |
+
"eval_samples_per_second": 167.787,
|
| 164 |
+
"eval_steps_per_second": 20.998,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.45,
|
| 169 |
+
"learning_rate": 3.0541666666666667e-07,
|
| 170 |
+
"loss": 1.1047,
|
| 171 |
+
"step": 11000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.45,
|
| 175 |
+
"eval_accuracy": 0.3780439121756487,
|
| 176 |
+
"eval_loss": 1.0928910970687866,
|
| 177 |
+
"eval_runtime": 29.8768,
|
| 178 |
+
"eval_samples_per_second": 167.689,
|
| 179 |
+
"eval_steps_per_second": 20.986,
|
| 180 |
+
"step": 11000
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.49,
|
| 184 |
+
"learning_rate": 3.3319444444444444e-07,
|
| 185 |
+
"loss": 1.1053,
|
| 186 |
+
"step": 12000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.49,
|
| 190 |
+
"eval_accuracy": 0.38323353293413176,
|
| 191 |
+
"eval_loss": 1.0910215377807617,
|
| 192 |
+
"eval_runtime": 29.8703,
|
| 193 |
+
"eval_samples_per_second": 167.725,
|
| 194 |
+
"eval_steps_per_second": 20.991,
|
| 195 |
+
"step": 12000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.53,
|
| 199 |
+
"learning_rate": 3.6094444444444446e-07,
|
| 200 |
+
"loss": 1.1035,
|
| 201 |
+
"step": 13000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.53,
|
| 205 |
+
"eval_accuracy": 0.34850299401197604,
|
| 206 |
+
"eval_loss": 1.0930161476135254,
|
| 207 |
+
"eval_runtime": 29.8865,
|
| 208 |
+
"eval_samples_per_second": 167.634,
|
| 209 |
+
"eval_steps_per_second": 20.979,
|
| 210 |
+
"step": 13000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.57,
|
| 214 |
+
"learning_rate": 3.8872222222222223e-07,
|
| 215 |
+
"loss": 1.1002,
|
| 216 |
+
"step": 14000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.57,
|
| 220 |
+
"eval_accuracy": 0.3646706586826347,
|
| 221 |
+
"eval_loss": 1.093497633934021,
|
| 222 |
+
"eval_runtime": 30.0222,
|
| 223 |
+
"eval_samples_per_second": 166.877,
|
| 224 |
+
"eval_steps_per_second": 20.885,
|
| 225 |
+
"step": 14000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.61,
|
| 229 |
+
"learning_rate": 4.1647222222222225e-07,
|
| 230 |
+
"loss": 1.1025,
|
| 231 |
+
"step": 15000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.61,
|
| 235 |
+
"eval_accuracy": 0.37924151696606784,
|
| 236 |
+
"eval_loss": 1.0900779962539673,
|
| 237 |
+
"eval_runtime": 30.0049,
|
| 238 |
+
"eval_samples_per_second": 166.973,
|
| 239 |
+
"eval_steps_per_second": 20.897,
|
| 240 |
+
"step": 15000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.65,
|
| 244 |
+
"learning_rate": 4.4425e-07,
|
| 245 |
+
"loss": 1.0992,
|
| 246 |
+
"step": 16000
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.65,
|
| 250 |
+
"eval_accuracy": 0.40119760479041916,
|
| 251 |
+
"eval_loss": 1.0855979919433594,
|
| 252 |
+
"eval_runtime": 30.1095,
|
| 253 |
+
"eval_samples_per_second": 166.393,
|
| 254 |
+
"eval_steps_per_second": 20.824,
|
| 255 |
+
"step": 16000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.69,
|
| 259 |
+
"learning_rate": 4.7200000000000004e-07,
|
| 260 |
+
"loss": 1.0965,
|
| 261 |
+
"step": 17000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.69,
|
| 265 |
+
"eval_accuracy": 0.4171656686626746,
|
| 266 |
+
"eval_loss": 1.0845381021499634,
|
| 267 |
+
"eval_runtime": 30.0586,
|
| 268 |
+
"eval_samples_per_second": 166.674,
|
| 269 |
+
"eval_steps_per_second": 20.859,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.73,
|
| 274 |
+
"learning_rate": 4.997777777777779e-07,
|
| 275 |
+
"loss": 1.0962,
|
| 276 |
+
"step": 18000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.73,
|
| 280 |
+
"eval_accuracy": 0.4087824351297405,
|
| 281 |
+
"eval_loss": 1.0860552787780762,
|
| 282 |
+
"eval_runtime": 30.2343,
|
| 283 |
+
"eval_samples_per_second": 165.706,
|
| 284 |
+
"eval_steps_per_second": 20.738,
|
| 285 |
+
"step": 18000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.77,
|
| 289 |
+
"learning_rate": 5.275277777777778e-07,
|
| 290 |
+
"loss": 1.0936,
|
| 291 |
+
"step": 19000
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.77,
|
| 295 |
+
"eval_accuracy": 0.4039920159680639,
|
| 296 |
+
"eval_loss": 1.0822259187698364,
|
| 297 |
+
"eval_runtime": 30.216,
|
| 298 |
+
"eval_samples_per_second": 165.806,
|
| 299 |
+
"eval_steps_per_second": 20.751,
|
| 300 |
+
"step": 19000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.81,
|
| 304 |
+
"learning_rate": 5.553055555555556e-07,
|
| 305 |
+
"loss": 1.0923,
|
| 306 |
+
"step": 20000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.81,
|
| 310 |
+
"eval_accuracy": 0.4095808383233533,
|
| 311 |
+
"eval_loss": 1.0820951461791992,
|
| 312 |
+
"eval_runtime": 29.968,
|
| 313 |
+
"eval_samples_per_second": 167.178,
|
| 314 |
+
"eval_steps_per_second": 20.922,
|
| 315 |
+
"step": 20000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.86,
|
| 319 |
+
"learning_rate": 5.830555555555556e-07,
|
| 320 |
+
"loss": 1.0897,
|
| 321 |
+
"step": 21000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.86,
|
| 325 |
+
"eval_accuracy": 0.4149700598802395,
|
| 326 |
+
"eval_loss": 1.0763800144195557,
|
| 327 |
+
"eval_runtime": 30.021,
|
| 328 |
+
"eval_samples_per_second": 166.883,
|
| 329 |
+
"eval_steps_per_second": 20.885,
|
| 330 |
+
"step": 21000
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.9,
|
| 334 |
+
"learning_rate": 6.108333333333333e-07,
|
| 335 |
+
"loss": 1.0888,
|
| 336 |
+
"step": 22000
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.9,
|
| 340 |
+
"eval_accuracy": 0.43193612774451096,
|
| 341 |
+
"eval_loss": 1.0687414407730103,
|
| 342 |
+
"eval_runtime": 30.1577,
|
| 343 |
+
"eval_samples_per_second": 166.127,
|
| 344 |
+
"eval_steps_per_second": 20.791,
|
| 345 |
+
"step": 22000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.94,
|
| 349 |
+
"learning_rate": 6.385833333333334e-07,
|
| 350 |
+
"loss": 1.0823,
|
| 351 |
+
"step": 23000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.94,
|
| 355 |
+
"eval_accuracy": 0.4285429141716567,
|
| 356 |
+
"eval_loss": 1.0642070770263672,
|
| 357 |
+
"eval_runtime": 30.0701,
|
| 358 |
+
"eval_samples_per_second": 166.611,
|
| 359 |
+
"eval_steps_per_second": 20.851,
|
| 360 |
+
"step": 23000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.98,
|
| 364 |
+
"learning_rate": 6.663611111111112e-07,
|
| 365 |
+
"loss": 1.0786,
|
| 366 |
+
"step": 24000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.98,
|
| 370 |
+
"eval_accuracy": 0.4363273453093812,
|
| 371 |
+
"eval_loss": 1.0598841905593872,
|
| 372 |
+
"eval_runtime": 30.0689,
|
| 373 |
+
"eval_samples_per_second": 166.617,
|
| 374 |
+
"eval_steps_per_second": 20.852,
|
| 375 |
+
"step": 24000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.02,
|
| 379 |
+
"learning_rate": 6.941111111111112e-07,
|
| 380 |
+
"loss": 1.0708,
|
| 381 |
+
"step": 25000
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.02,
|
| 385 |
+
"eval_accuracy": 0.4429141716566866,
|
| 386 |
+
"eval_loss": 1.0561795234680176,
|
| 387 |
+
"eval_runtime": 30.1301,
|
| 388 |
+
"eval_samples_per_second": 166.279,
|
| 389 |
+
"eval_steps_per_second": 20.81,
|
| 390 |
+
"step": 25000
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.06,
|
| 394 |
+
"learning_rate": 7.218888888888889e-07,
|
| 395 |
+
"loss": 1.072,
|
| 396 |
+
"step": 26000
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.06,
|
| 400 |
+
"eval_accuracy": 0.4303393213572854,
|
| 401 |
+
"eval_loss": 1.0574887990951538,
|
| 402 |
+
"eval_runtime": 30.0473,
|
| 403 |
+
"eval_samples_per_second": 166.737,
|
| 404 |
+
"eval_steps_per_second": 20.867,
|
| 405 |
+
"step": 26000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.1,
|
| 409 |
+
"learning_rate": 7.496666666666667e-07,
|
| 410 |
+
"loss": 1.0701,
|
| 411 |
+
"step": 27000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1,
|
| 415 |
+
"eval_accuracy": 0.4421157684630739,
|
| 416 |
+
"eval_loss": 1.055459976196289,
|
| 417 |
+
"eval_runtime": 30.1049,
|
| 418 |
+
"eval_samples_per_second": 166.418,
|
| 419 |
+
"eval_steps_per_second": 20.827,
|
| 420 |
+
"step": 27000
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.14,
|
| 424 |
+
"learning_rate": 7.774166666666668e-07,
|
| 425 |
+
"loss": 1.0677,
|
| 426 |
+
"step": 28000
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.14,
|
| 430 |
+
"eval_accuracy": 0.4285429141716567,
|
| 431 |
+
"eval_loss": 1.0527067184448242,
|
| 432 |
+
"eval_runtime": 30.1476,
|
| 433 |
+
"eval_samples_per_second": 166.182,
|
| 434 |
+
"eval_steps_per_second": 20.798,
|
| 435 |
+
"step": 28000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.18,
|
| 439 |
+
"learning_rate": 8.051944444444445e-07,
|
| 440 |
+
"loss": 1.065,
|
| 441 |
+
"step": 29000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.18,
|
| 445 |
+
"eval_accuracy": 0.43852295409181635,
|
| 446 |
+
"eval_loss": 1.0494154691696167,
|
| 447 |
+
"eval_runtime": 30.036,
|
| 448 |
+
"eval_samples_per_second": 166.8,
|
| 449 |
+
"eval_steps_per_second": 20.875,
|
| 450 |
+
"step": 29000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.22,
|
| 454 |
+
"learning_rate": 8.329444444444445e-07,
|
| 455 |
+
"loss": 1.0628,
|
| 456 |
+
"step": 30000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.22,
|
| 460 |
+
"eval_accuracy": 0.4377245508982036,
|
| 461 |
+
"eval_loss": 1.0461777448654175,
|
| 462 |
+
"eval_runtime": 30.1005,
|
| 463 |
+
"eval_samples_per_second": 166.442,
|
| 464 |
+
"eval_steps_per_second": 20.83,
|
| 465 |
+
"step": 30000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.26,
|
| 469 |
+
"learning_rate": 8.607222222222223e-07,
|
| 470 |
+
"loss": 1.0672,
|
| 471 |
+
"step": 31000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.26,
|
| 475 |
+
"eval_accuracy": 0.4435129740518962,
|
| 476 |
+
"eval_loss": 1.0531694889068604,
|
| 477 |
+
"eval_runtime": 30.1733,
|
| 478 |
+
"eval_samples_per_second": 166.041,
|
| 479 |
+
"eval_steps_per_second": 20.78,
|
| 480 |
+
"step": 31000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.3,
|
| 484 |
+
"learning_rate": 8.884722222222224e-07,
|
| 485 |
+
"loss": 1.0638,
|
| 486 |
+
"step": 32000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3,
|
| 490 |
+
"eval_accuracy": 0.4297405189620758,
|
| 491 |
+
"eval_loss": 1.0501775741577148,
|
| 492 |
+
"eval_runtime": 30.058,
|
| 493 |
+
"eval_samples_per_second": 166.678,
|
| 494 |
+
"eval_steps_per_second": 20.86,
|
| 495 |
+
"step": 32000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.34,
|
| 499 |
+
"learning_rate": 9.162500000000001e-07,
|
| 500 |
+
"loss": 1.0637,
|
| 501 |
+
"step": 33000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.34,
|
| 505 |
+
"eval_accuracy": 0.44491017964071855,
|
| 506 |
+
"eval_loss": 1.0452704429626465,
|
| 507 |
+
"eval_runtime": 30.3623,
|
| 508 |
+
"eval_samples_per_second": 165.007,
|
| 509 |
+
"eval_steps_per_second": 20.651,
|
| 510 |
+
"step": 33000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.39,
|
| 514 |
+
"learning_rate": 9.440000000000001e-07,
|
| 515 |
+
"loss": 1.0558,
|
| 516 |
+
"step": 34000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.39,
|
| 520 |
+
"eval_accuracy": 0.44510978043912175,
|
| 521 |
+
"eval_loss": 1.0434744358062744,
|
| 522 |
+
"eval_runtime": 30.2239,
|
| 523 |
+
"eval_samples_per_second": 165.763,
|
| 524 |
+
"eval_steps_per_second": 20.745,
|
| 525 |
+
"step": 34000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.43,
|
| 529 |
+
"learning_rate": 9.71777777777778e-07,
|
| 530 |
+
"loss": 1.0598,
|
| 531 |
+
"step": 35000
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.43,
|
| 535 |
+
"eval_accuracy": 0.4473053892215569,
|
| 536 |
+
"eval_loss": 1.039801001548767,
|
| 537 |
+
"eval_runtime": 30.107,
|
| 538 |
+
"eval_samples_per_second": 166.407,
|
| 539 |
+
"eval_steps_per_second": 20.826,
|
| 540 |
+
"step": 35000
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.47,
|
| 544 |
+
"learning_rate": 9.995277777777778e-07,
|
| 545 |
+
"loss": 1.0601,
|
| 546 |
+
"step": 36000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.47,
|
| 550 |
+
"eval_accuracy": 0.4469061876247505,
|
| 551 |
+
"eval_loss": 1.037074327468872,
|
| 552 |
+
"eval_runtime": 30.1954,
|
| 553 |
+
"eval_samples_per_second": 165.919,
|
| 554 |
+
"eval_steps_per_second": 20.765,
|
| 555 |
+
"step": 36000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.51,
|
| 559 |
+
"learning_rate": 1.0273055555555556e-06,
|
| 560 |
+
"loss": 1.0529,
|
| 561 |
+
"step": 37000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.51,
|
| 565 |
+
"eval_accuracy": 0.45229540918163674,
|
| 566 |
+
"eval_loss": 1.0346434116363525,
|
| 567 |
+
"eval_runtime": 30.2856,
|
| 568 |
+
"eval_samples_per_second": 165.425,
|
| 569 |
+
"eval_steps_per_second": 20.703,
|
| 570 |
+
"step": 37000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.55,
|
| 574 |
+
"learning_rate": 1.0550555555555557e-06,
|
| 575 |
+
"loss": 1.0544,
|
| 576 |
+
"step": 38000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.55,
|
| 580 |
+
"eval_accuracy": 0.45129740518962075,
|
| 581 |
+
"eval_loss": 1.0338674783706665,
|
| 582 |
+
"eval_runtime": 30.1511,
|
| 583 |
+
"eval_samples_per_second": 166.163,
|
| 584 |
+
"eval_steps_per_second": 20.795,
|
| 585 |
+
"step": 38000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.59,
|
| 589 |
+
"learning_rate": 1.0828333333333334e-06,
|
| 590 |
+
"loss": 1.0528,
|
| 591 |
+
"step": 39000
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.59,
|
| 595 |
+
"eval_accuracy": 0.44550898203592815,
|
| 596 |
+
"eval_loss": 1.0376836061477661,
|
| 597 |
+
"eval_runtime": 30.304,
|
| 598 |
+
"eval_samples_per_second": 165.324,
|
| 599 |
+
"eval_steps_per_second": 20.69,
|
| 600 |
+
"step": 39000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.63,
|
| 604 |
+
"learning_rate": 1.1106111111111112e-06,
|
| 605 |
+
"loss": 1.0482,
|
| 606 |
+
"step": 40000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.63,
|
| 610 |
+
"eval_accuracy": 0.4540918163672655,
|
| 611 |
+
"eval_loss": 1.031366229057312,
|
| 612 |
+
"eval_runtime": 30.2062,
|
| 613 |
+
"eval_samples_per_second": 165.86,
|
| 614 |
+
"eval_steps_per_second": 20.757,
|
| 615 |
+
"step": 40000
|
| 616 |
+
}
|
| 617 |
+
],
|
| 618 |
+
"logging_steps": 1000,
|
| 619 |
+
"max_steps": 10000000,
|
| 620 |
+
"num_train_epochs": 408,
|
| 621 |
+
"save_steps": 1000,
|
| 622 |
+
"total_flos": 4.180810441870541e+16,
|
| 623 |
+
"trial_name": null,
|
| 624 |
+
"trial_params": null
|
| 625 |
+
}
|
checkpoint-40000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40a0dfc08574fef5341c0802f4b4b8be93cd36a17a96b8a7b07271ea753deed4
|
| 3 |
+
size 4027
|
checkpoint-40000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|