ZhangYunchenY
commited on
Commit
·
569f189
1
Parent(s):
46b9440
[Model] bert-base-uncased-stsb
Browse files- config.json +34 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +524 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_name_or_path": "/mnt/lustre/weixiuying/transformer/pretrain_models/bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"finetuning_task": "stsb",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.13.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0ae11f0df38f5795865ba1d3997efb24b8729f301afe94832cdd5f36870272f
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size 875991075
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:99a426d8487002df8623f33011771fe7fb759da0271cd42673303c4c6ae047fb
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size 438021779
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3a7c8a4c63ab300071a77268a406ee50547f5793c538dcde70593def84c9ed8
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size 14659
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b6298878d15035f3cba5611cfa3c9c3ddf0a2576fe0e93990d6695ababd1f34
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size 623
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "/mnt/lustre/weixiuying/transformer/pretrain_models/bert-base-uncased", "tokenizer_class": "BertTokenizer"}
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trainer_state.json
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{
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"best_metric": 0.4471864700317383,
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| 3 |
+
"best_model_checkpoint": "output_dir/finetuned_best_stsb/checkpoint-1900",
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| 4 |
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"epoch": 6.111111111111111,
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| 5 |
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"global_step": 2200,
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| 6 |
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"is_hyper_param_search": false,
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| 7 |
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"is_local_process_zero": true,
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| 8 |
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"is_world_process_zero": true,
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| 9 |
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"log_history": [
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| 10 |
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{
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| 11 |
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"epoch": 0.14,
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| 12 |
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"eval_combined_score": 0.8343080271135384,
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| 13 |
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"eval_loss": 0.7862432599067688,
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| 14 |
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"eval_pearson": 0.829615903016159,
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| 15 |
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"eval_runtime": 7.9747,
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| 16 |
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"eval_samples_per_second": 188.095,
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| 17 |
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"eval_spearmanr": 0.8390001512109179,
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| 18 |
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"eval_steps_per_second": 11.787,
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| 19 |
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"step": 50
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| 20 |
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},
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| 21 |
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{
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| 22 |
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"epoch": 0.28,
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| 23 |
+
"eval_combined_score": 0.8549898629109538,
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| 24 |
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"eval_loss": 0.6401779055595398,
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| 25 |
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"eval_pearson": 0.8531715498817952,
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| 26 |
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"eval_runtime": 5.6147,
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| 27 |
+
"eval_samples_per_second": 267.156,
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| 28 |
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"eval_spearmanr": 0.8568081759401125,
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| 29 |
+
"eval_steps_per_second": 16.742,
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| 30 |
+
"step": 100
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| 31 |
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},
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| 32 |
+
{
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| 33 |
+
"epoch": 0.42,
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| 34 |
+
"eval_combined_score": 0.8443191275483415,
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| 35 |
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"eval_loss": 0.6554257273674011,
|
| 36 |
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"eval_pearson": 0.8474110080447523,
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| 37 |
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"eval_runtime": 5.6204,
|
| 38 |
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"eval_samples_per_second": 266.887,
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| 39 |
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"eval_spearmanr": 0.8412272470519305,
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| 40 |
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"eval_steps_per_second": 16.725,
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| 41 |
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"step": 150
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| 42 |
+
},
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| 43 |
+
{
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| 44 |
+
"epoch": 0.56,
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| 45 |
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"eval_combined_score": 0.8673615699410524,
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| 46 |
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"eval_loss": 0.5701442956924438,
|
| 47 |
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"eval_pearson": 0.8692556554827053,
|
| 48 |
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"eval_runtime": 5.9834,
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| 49 |
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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vocab.txt
ADDED
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