Upload 12 files
Browse files- .gitattributes +1 -0
- intensive/config.json +30 -0
- intensive/intensive_eval_results.txt +16 -0
- intensive/model.safetensors +3 -0
- intensive/nbest_predictions.json +3 -0
- intensive/null_odds.json +0 -0
- intensive/predictions.json +0 -0
- intensive/special_tokens_map.json +7 -0
- intensive/tokenizer.json +0 -0
- intensive/tokenizer_config.json +55 -0
- intensive/trainer_state.json +492 -0
- intensive/training_args.bin +3 -0
- intensive/vocab.txt +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
intensive/nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
|
intensive/config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/electra-base-discriminator",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ElectraForQuestionAnsweringAVPool"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"embedding_size": 768,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"layer_norm_eps": 1e-12,
|
| 15 |
+
"max_position_embeddings": 512,
|
| 16 |
+
"model_type": "electra",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 12,
|
| 19 |
+
"pad_token_id": 0,
|
| 20 |
+
"position_embedding_type": "absolute",
|
| 21 |
+
"summary_activation": "gelu",
|
| 22 |
+
"summary_last_dropout": 0.1,
|
| 23 |
+
"summary_type": "first",
|
| 24 |
+
"summary_use_proj": true,
|
| 25 |
+
"torch_dtype": "float32",
|
| 26 |
+
"transformers_version": "4.41.2",
|
| 27 |
+
"type_vocab_size": 2,
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"vocab_size": 30522
|
| 30 |
+
}
|
intensive/intensive_eval_results.txt
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
***** Eval results *****
|
| 2 |
+
2024-06-16 22:33:27.148495epoch = 10.0
|
| 3 |
+
eval_HasAns_exact = 40.50366377495157
|
| 4 |
+
eval_HasAns_f1 = 44.072135007775564
|
| 5 |
+
eval_HasAns_total = 11873
|
| 6 |
+
eval_best_exact = 77.4025098964036
|
| 7 |
+
eval_best_exact_thresh = 28.15625
|
| 8 |
+
eval_best_f1 = 80.97098112922765
|
| 9 |
+
eval_best_f1_thresh = 28.15625
|
| 10 |
+
eval_exact = 40.50366377495157
|
| 11 |
+
eval_f1 = 44.072135007775564
|
| 12 |
+
eval_runtime = 85.0565
|
| 13 |
+
eval_samples_per_second = 140.718
|
| 14 |
+
eval_steps_per_second = 2.21
|
| 15 |
+
eval_total = 11873
|
| 16 |
+
|
intensive/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0cb271e2883be14ae7549b40c3f850566984119d608bd05be31379c9e66dc3f0
|
| 3 |
+
size 435603000
|
intensive/nbest_predictions.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa0eecd57efef5f9874f50e80c0352a8d68cf743cb62f4d9d3cfd0e53b364a94
|
| 3 |
+
size 52437714
|
intensive/null_odds.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
intensive/predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
intensive/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
intensive/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
intensive/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"model_max_length": 512,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
+
"sep_token": "[SEP]",
|
| 51 |
+
"strip_accents": null,
|
| 52 |
+
"tokenize_chinese_chars": true,
|
| 53 |
+
"tokenizer_class": "ElectraTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|
intensive/trainer_state.json
ADDED
|
@@ -0,0 +1,492 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 20400,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.24509803921568626,
|
| 13 |
+
"grad_norm": 26.514015197753906,
|
| 14 |
+
"learning_rate": 4.872549019607843e-06,
|
| 15 |
+
"loss": 9.1121,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.49019607843137253,
|
| 20 |
+
"grad_norm": 17.301259994506836,
|
| 21 |
+
"learning_rate": 9.764705882352942e-06,
|
| 22 |
+
"loss": 4.6199,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.7352941176470589,
|
| 27 |
+
"grad_norm": 19.435855865478516,
|
| 28 |
+
"learning_rate": 1.4656862745098039e-05,
|
| 29 |
+
"loss": 3.7886,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.9803921568627451,
|
| 34 |
+
"grad_norm": 21.463775634765625,
|
| 35 |
+
"learning_rate": 1.954901960784314e-05,
|
| 36 |
+
"loss": 3.3042,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 1.0,
|
| 41 |
+
"eval_HasAns_exact": 41.66596479407058,
|
| 42 |
+
"eval_HasAns_f1": 45.75952971203001,
|
| 43 |
+
"eval_HasAns_total": 11873,
|
| 44 |
+
"eval_best_exact": 63.918133580392485,
|
| 45 |
+
"eval_best_exact_thresh": 17.15625,
|
| 46 |
+
"eval_best_f1": 68.01169849835183,
|
| 47 |
+
"eval_best_f1_thresh": 17.15625,
|
| 48 |
+
"eval_exact": 41.66596479407058,
|
| 49 |
+
"eval_f1": 45.75952971203001,
|
| 50 |
+
"eval_runtime": 84.8894,
|
| 51 |
+
"eval_samples_per_second": 140.995,
|
| 52 |
+
"eval_steps_per_second": 2.215,
|
| 53 |
+
"eval_total": 11873,
|
| 54 |
+
"step": 2040
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 1.2254901960784315,
|
| 58 |
+
"grad_norm": 22.533653259277344,
|
| 59 |
+
"learning_rate": 1.9505446623093686e-05,
|
| 60 |
+
"loss": 2.8594,
|
| 61 |
+
"step": 2500
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 1.4705882352941178,
|
| 65 |
+
"grad_norm": 16.711044311523438,
|
| 66 |
+
"learning_rate": 1.8960784313725492e-05,
|
| 67 |
+
"loss": 2.7032,
|
| 68 |
+
"step": 3000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 1.715686274509804,
|
| 72 |
+
"grad_norm": 20.539369583129883,
|
| 73 |
+
"learning_rate": 1.84161220043573e-05,
|
| 74 |
+
"loss": 2.6147,
|
| 75 |
+
"step": 3500
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 1.9607843137254903,
|
| 79 |
+
"grad_norm": 17.798688888549805,
|
| 80 |
+
"learning_rate": 1.7871459694989108e-05,
|
| 81 |
+
"loss": 2.565,
|
| 82 |
+
"step": 4000
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 2.0,
|
| 86 |
+
"eval_HasAns_exact": 42.69350627474101,
|
| 87 |
+
"eval_HasAns_f1": 46.51650253068049,
|
| 88 |
+
"eval_HasAns_total": 11873,
|
| 89 |
+
"eval_best_exact": 72.38271708919397,
|
| 90 |
+
"eval_best_exact_thresh": 19.26171875,
|
| 91 |
+
"eval_best_f1": 76.20571334513343,
|
| 92 |
+
"eval_best_f1_thresh": 19.26171875,
|
| 93 |
+
"eval_exact": 42.69350627474101,
|
| 94 |
+
"eval_f1": 46.51650253068049,
|
| 95 |
+
"eval_runtime": 85.6719,
|
| 96 |
+
"eval_samples_per_second": 139.707,
|
| 97 |
+
"eval_steps_per_second": 2.194,
|
| 98 |
+
"eval_total": 11873,
|
| 99 |
+
"step": 4080
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 2.2058823529411766,
|
| 103 |
+
"grad_norm": 15.679291725158691,
|
| 104 |
+
"learning_rate": 1.7326797385620918e-05,
|
| 105 |
+
"loss": 2.2395,
|
| 106 |
+
"step": 4500
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 2.450980392156863,
|
| 110 |
+
"grad_norm": 15.367960929870605,
|
| 111 |
+
"learning_rate": 1.6783224400871462e-05,
|
| 112 |
+
"loss": 2.1524,
|
| 113 |
+
"step": 5000
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 2.696078431372549,
|
| 117 |
+
"grad_norm": 13.34710693359375,
|
| 118 |
+
"learning_rate": 1.623856209150327e-05,
|
| 119 |
+
"loss": 2.1288,
|
| 120 |
+
"step": 5500
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 2.9411764705882355,
|
| 124 |
+
"grad_norm": 30.506305694580078,
|
| 125 |
+
"learning_rate": 1.5693899782135078e-05,
|
| 126 |
+
"loss": 2.1232,
|
| 127 |
+
"step": 6000
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 3.0,
|
| 131 |
+
"eval_HasAns_exact": 42.86195569780173,
|
| 132 |
+
"eval_HasAns_f1": 46.30919897657347,
|
| 133 |
+
"eval_HasAns_total": 11873,
|
| 134 |
+
"eval_best_exact": 74.37884275246357,
|
| 135 |
+
"eval_best_exact_thresh": 22.76953125,
|
| 136 |
+
"eval_best_f1": 77.82608603123529,
|
| 137 |
+
"eval_best_f1_thresh": 22.76953125,
|
| 138 |
+
"eval_exact": 42.86195569780173,
|
| 139 |
+
"eval_f1": 46.30919897657347,
|
| 140 |
+
"eval_runtime": 84.8777,
|
| 141 |
+
"eval_samples_per_second": 141.015,
|
| 142 |
+
"eval_steps_per_second": 2.215,
|
| 143 |
+
"eval_total": 11873,
|
| 144 |
+
"step": 6120
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 3.186274509803922,
|
| 148 |
+
"grad_norm": 16.010583877563477,
|
| 149 |
+
"learning_rate": 1.5149237472766886e-05,
|
| 150 |
+
"loss": 1.8918,
|
| 151 |
+
"step": 6500
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 3.431372549019608,
|
| 155 |
+
"grad_norm": 17.6584529876709,
|
| 156 |
+
"learning_rate": 1.4604575163398694e-05,
|
| 157 |
+
"loss": 1.8567,
|
| 158 |
+
"step": 7000
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 3.6764705882352944,
|
| 162 |
+
"grad_norm": 16.007558822631836,
|
| 163 |
+
"learning_rate": 1.4059912854030502e-05,
|
| 164 |
+
"loss": 1.828,
|
| 165 |
+
"step": 7500
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 3.9215686274509802,
|
| 169 |
+
"grad_norm": 13.604976654052734,
|
| 170 |
+
"learning_rate": 1.3515250544662311e-05,
|
| 171 |
+
"loss": 1.844,
|
| 172 |
+
"step": 8000
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 4.0,
|
| 176 |
+
"eval_HasAns_exact": 41.497515371009854,
|
| 177 |
+
"eval_HasAns_f1": 44.91728050965404,
|
| 178 |
+
"eval_HasAns_total": 11873,
|
| 179 |
+
"eval_best_exact": 76.1728291080603,
|
| 180 |
+
"eval_best_exact_thresh": 23.875,
|
| 181 |
+
"eval_best_f1": 79.59259424670454,
|
| 182 |
+
"eval_best_f1_thresh": 23.875,
|
| 183 |
+
"eval_exact": 41.497515371009854,
|
| 184 |
+
"eval_f1": 44.91728050965404,
|
| 185 |
+
"eval_runtime": 84.9529,
|
| 186 |
+
"eval_samples_per_second": 140.89,
|
| 187 |
+
"eval_steps_per_second": 2.213,
|
| 188 |
+
"eval_total": 11873,
|
| 189 |
+
"step": 8160
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 4.166666666666667,
|
| 193 |
+
"grad_norm": 19.50208282470703,
|
| 194 |
+
"learning_rate": 1.297058823529412e-05,
|
| 195 |
+
"loss": 1.6876,
|
| 196 |
+
"step": 8500
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 4.411764705882353,
|
| 200 |
+
"grad_norm": 31.982032775878906,
|
| 201 |
+
"learning_rate": 1.2425925925925927e-05,
|
| 202 |
+
"loss": 1.626,
|
| 203 |
+
"step": 9000
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 4.6568627450980395,
|
| 207 |
+
"grad_norm": 28.154998779296875,
|
| 208 |
+
"learning_rate": 1.1881263616557735e-05,
|
| 209 |
+
"loss": 1.6113,
|
| 210 |
+
"step": 9500
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 4.901960784313726,
|
| 214 |
+
"grad_norm": 14.066104888916016,
|
| 215 |
+
"learning_rate": 1.1336601307189543e-05,
|
| 216 |
+
"loss": 1.6376,
|
| 217 |
+
"step": 10000
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 5.0,
|
| 221 |
+
"eval_HasAns_exact": 41.337488419102165,
|
| 222 |
+
"eval_HasAns_f1": 44.79650825632658,
|
| 223 |
+
"eval_HasAns_total": 11873,
|
| 224 |
+
"eval_best_exact": 76.0549145119178,
|
| 225 |
+
"eval_best_exact_thresh": 24.96484375,
|
| 226 |
+
"eval_best_f1": 79.51393434914232,
|
| 227 |
+
"eval_best_f1_thresh": 24.96484375,
|
| 228 |
+
"eval_exact": 41.337488419102165,
|
| 229 |
+
"eval_f1": 44.79650825632658,
|
| 230 |
+
"eval_runtime": 86.6553,
|
| 231 |
+
"eval_samples_per_second": 138.122,
|
| 232 |
+
"eval_steps_per_second": 2.17,
|
| 233 |
+
"eval_total": 11873,
|
| 234 |
+
"step": 10200
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 5.147058823529412,
|
| 238 |
+
"grad_norm": 10.620172500610352,
|
| 239 |
+
"learning_rate": 1.0791938997821352e-05,
|
| 240 |
+
"loss": 1.5461,
|
| 241 |
+
"step": 10500
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 5.392156862745098,
|
| 245 |
+
"grad_norm": 8.425840377807617,
|
| 246 |
+
"learning_rate": 1.024727668845316e-05,
|
| 247 |
+
"loss": 1.4638,
|
| 248 |
+
"step": 11000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 5.637254901960784,
|
| 252 |
+
"grad_norm": 14.811394691467285,
|
| 253 |
+
"learning_rate": 9.702614379084968e-06,
|
| 254 |
+
"loss": 1.5059,
|
| 255 |
+
"step": 11500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 5.882352941176471,
|
| 259 |
+
"grad_norm": 24.639976501464844,
|
| 260 |
+
"learning_rate": 9.157952069716776e-06,
|
| 261 |
+
"loss": 1.4819,
|
| 262 |
+
"step": 12000
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 6.0,
|
| 266 |
+
"eval_HasAns_exact": 41.48067042870378,
|
| 267 |
+
"eval_HasAns_f1": 45.146223596426786,
|
| 268 |
+
"eval_HasAns_total": 11873,
|
| 269 |
+
"eval_best_exact": 74.41253263707571,
|
| 270 |
+
"eval_best_exact_thresh": 26.44140625,
|
| 271 |
+
"eval_best_f1": 78.0780858047988,
|
| 272 |
+
"eval_best_f1_thresh": 26.44140625,
|
| 273 |
+
"eval_exact": 41.48067042870378,
|
| 274 |
+
"eval_f1": 45.146223596426786,
|
| 275 |
+
"eval_runtime": 85.4707,
|
| 276 |
+
"eval_samples_per_second": 140.036,
|
| 277 |
+
"eval_steps_per_second": 2.2,
|
| 278 |
+
"eval_total": 11873,
|
| 279 |
+
"step": 12240
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 6.127450980392156,
|
| 283 |
+
"grad_norm": 15.370038032531738,
|
| 284 |
+
"learning_rate": 8.613289760348584e-06,
|
| 285 |
+
"loss": 1.4085,
|
| 286 |
+
"step": 12500
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 6.372549019607844,
|
| 290 |
+
"grad_norm": 21.215662002563477,
|
| 291 |
+
"learning_rate": 8.069716775599129e-06,
|
| 292 |
+
"loss": 1.3618,
|
| 293 |
+
"step": 13000
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 6.617647058823529,
|
| 297 |
+
"grad_norm": 21.488882064819336,
|
| 298 |
+
"learning_rate": 7.5250544662309376e-06,
|
| 299 |
+
"loss": 1.3808,
|
| 300 |
+
"step": 13500
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 6.862745098039216,
|
| 304 |
+
"grad_norm": 20.903297424316406,
|
| 305 |
+
"learning_rate": 6.9803921568627454e-06,
|
| 306 |
+
"loss": 1.3846,
|
| 307 |
+
"step": 14000
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 7.0,
|
| 311 |
+
"eval_HasAns_exact": 40.59631095763497,
|
| 312 |
+
"eval_HasAns_f1": 44.0313300086635,
|
| 313 |
+
"eval_HasAns_total": 11873,
|
| 314 |
+
"eval_best_exact": 78.64061315589994,
|
| 315 |
+
"eval_best_exact_thresh": 26.69140625,
|
| 316 |
+
"eval_best_f1": 82.07563220692849,
|
| 317 |
+
"eval_best_f1_thresh": 26.69140625,
|
| 318 |
+
"eval_exact": 40.59631095763497,
|
| 319 |
+
"eval_f1": 44.0313300086635,
|
| 320 |
+
"eval_runtime": 88.9313,
|
| 321 |
+
"eval_samples_per_second": 134.587,
|
| 322 |
+
"eval_steps_per_second": 2.114,
|
| 323 |
+
"eval_total": 11873,
|
| 324 |
+
"step": 14280
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 7.107843137254902,
|
| 328 |
+
"grad_norm": 37.26835250854492,
|
| 329 |
+
"learning_rate": 6.435729847494554e-06,
|
| 330 |
+
"loss": 1.3405,
|
| 331 |
+
"step": 14500
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 7.352941176470588,
|
| 335 |
+
"grad_norm": 15.88136100769043,
|
| 336 |
+
"learning_rate": 5.891067538126363e-06,
|
| 337 |
+
"loss": 1.2833,
|
| 338 |
+
"step": 15000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 7.598039215686274,
|
| 342 |
+
"grad_norm": 18.780271530151367,
|
| 343 |
+
"learning_rate": 5.34640522875817e-06,
|
| 344 |
+
"loss": 1.2905,
|
| 345 |
+
"step": 15500
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 7.8431372549019605,
|
| 349 |
+
"grad_norm": 9.158843040466309,
|
| 350 |
+
"learning_rate": 4.801742919389979e-06,
|
| 351 |
+
"loss": 1.3058,
|
| 352 |
+
"step": 16000
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 8.0,
|
| 356 |
+
"eval_HasAns_exact": 40.32679188073781,
|
| 357 |
+
"eval_HasAns_f1": 44.093437026674906,
|
| 358 |
+
"eval_HasAns_total": 11873,
|
| 359 |
+
"eval_best_exact": 77.43619978101574,
|
| 360 |
+
"eval_best_exact_thresh": 27.0859375,
|
| 361 |
+
"eval_best_f1": 81.20284492695288,
|
| 362 |
+
"eval_best_f1_thresh": 27.0859375,
|
| 363 |
+
"eval_exact": 40.32679188073781,
|
| 364 |
+
"eval_f1": 44.093437026674906,
|
| 365 |
+
"eval_runtime": 85.3184,
|
| 366 |
+
"eval_samples_per_second": 140.286,
|
| 367 |
+
"eval_steps_per_second": 2.204,
|
| 368 |
+
"eval_total": 11873,
|
| 369 |
+
"step": 16320
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 8.088235294117647,
|
| 373 |
+
"grad_norm": 27.426488876342773,
|
| 374 |
+
"learning_rate": 4.2570806100217874e-06,
|
| 375 |
+
"loss": 1.2616,
|
| 376 |
+
"step": 16500
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 8.333333333333334,
|
| 380 |
+
"grad_norm": 21.802486419677734,
|
| 381 |
+
"learning_rate": 3.7135076252723314e-06,
|
| 382 |
+
"loss": 1.2336,
|
| 383 |
+
"step": 17000
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 8.57843137254902,
|
| 387 |
+
"grad_norm": 24.72883415222168,
|
| 388 |
+
"learning_rate": 3.1699346405228758e-06,
|
| 389 |
+
"loss": 1.2427,
|
| 390 |
+
"step": 17500
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 8.823529411764707,
|
| 394 |
+
"grad_norm": 23.679203033447266,
|
| 395 |
+
"learning_rate": 2.625272331154684e-06,
|
| 396 |
+
"loss": 1.2367,
|
| 397 |
+
"step": 18000
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 9.0,
|
| 401 |
+
"eval_HasAns_exact": 40.25941211151352,
|
| 402 |
+
"eval_HasAns_f1": 43.84815270396611,
|
| 403 |
+
"eval_HasAns_total": 11873,
|
| 404 |
+
"eval_best_exact": 77.7730986271372,
|
| 405 |
+
"eval_best_exact_thresh": 28.12890625,
|
| 406 |
+
"eval_best_f1": 81.36183921958985,
|
| 407 |
+
"eval_best_f1_thresh": 28.12890625,
|
| 408 |
+
"eval_exact": 40.25941211151352,
|
| 409 |
+
"eval_f1": 43.84815270396611,
|
| 410 |
+
"eval_runtime": 85.5334,
|
| 411 |
+
"eval_samples_per_second": 139.934,
|
| 412 |
+
"eval_steps_per_second": 2.198,
|
| 413 |
+
"eval_total": 11873,
|
| 414 |
+
"step": 18360
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 9.068627450980392,
|
| 418 |
+
"grad_norm": 6.289318561553955,
|
| 419 |
+
"learning_rate": 2.0806100217864924e-06,
|
| 420 |
+
"loss": 1.202,
|
| 421 |
+
"step": 18500
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 9.313725490196079,
|
| 425 |
+
"grad_norm": 13.79410457611084,
|
| 426 |
+
"learning_rate": 1.535947712418301e-06,
|
| 427 |
+
"loss": 1.1927,
|
| 428 |
+
"step": 19000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 9.558823529411764,
|
| 432 |
+
"grad_norm": 10.254155158996582,
|
| 433 |
+
"learning_rate": 9.91285403050109e-07,
|
| 434 |
+
"loss": 1.1843,
|
| 435 |
+
"step": 19500
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 9.803921568627452,
|
| 439 |
+
"grad_norm": 8.800715446472168,
|
| 440 |
+
"learning_rate": 4.466230936819173e-07,
|
| 441 |
+
"loss": 1.1861,
|
| 442 |
+
"step": 20000
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 10.0,
|
| 446 |
+
"eval_HasAns_exact": 40.50366377495157,
|
| 447 |
+
"eval_HasAns_f1": 44.072135007775564,
|
| 448 |
+
"eval_HasAns_total": 11873,
|
| 449 |
+
"eval_best_exact": 77.4025098964036,
|
| 450 |
+
"eval_best_exact_thresh": 28.15625,
|
| 451 |
+
"eval_best_f1": 80.97098112922765,
|
| 452 |
+
"eval_best_f1_thresh": 28.15625,
|
| 453 |
+
"eval_exact": 40.50366377495157,
|
| 454 |
+
"eval_f1": 44.072135007775564,
|
| 455 |
+
"eval_runtime": 85.0565,
|
| 456 |
+
"eval_samples_per_second": 140.718,
|
| 457 |
+
"eval_steps_per_second": 2.21,
|
| 458 |
+
"eval_total": 11873,
|
| 459 |
+
"step": 20400
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 10.0,
|
| 463 |
+
"step": 20400,
|
| 464 |
+
"total_flos": 3.4100627236540416e+17,
|
| 465 |
+
"train_loss": 2.000769229963714,
|
| 466 |
+
"train_runtime": 15111.8581,
|
| 467 |
+
"train_samples_per_second": 86.358,
|
| 468 |
+
"train_steps_per_second": 1.35
|
| 469 |
+
}
|
| 470 |
+
],
|
| 471 |
+
"logging_steps": 500,
|
| 472 |
+
"max_steps": 20400,
|
| 473 |
+
"num_input_tokens_seen": 0,
|
| 474 |
+
"num_train_epochs": 10,
|
| 475 |
+
"save_steps": 5000,
|
| 476 |
+
"stateful_callbacks": {
|
| 477 |
+
"TrainerControl": {
|
| 478 |
+
"args": {
|
| 479 |
+
"should_epoch_stop": false,
|
| 480 |
+
"should_evaluate": false,
|
| 481 |
+
"should_log": false,
|
| 482 |
+
"should_save": true,
|
| 483 |
+
"should_training_stop": false
|
| 484 |
+
},
|
| 485 |
+
"attributes": {}
|
| 486 |
+
}
|
| 487 |
+
},
|
| 488 |
+
"total_flos": 3.4100627236540416e+17,
|
| 489 |
+
"train_batch_size": 64,
|
| 490 |
+
"trial_name": null,
|
| 491 |
+
"trial_params": null
|
| 492 |
+
}
|
intensive/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d22e02ab8ebebb40a87230941ba72443a10c1c914a4106ab1f93705de8403768
|
| 3 |
+
size 4667
|
intensive/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|