Tianyu Gao
commited on
Commit
·
af2163e
1
Parent(s):
3e6465f
init
Browse files- config.json +24 -0
- eval_results.txt +14 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.txt +3 -0
- trainer_state.json +1072 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_name_or_path": "result/bert-large-uncased-bs512-lr1e-5",
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"architectures": [
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"BertForCL"
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],
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"attention_probs_dropout_prob": 0.1,
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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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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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": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.2.1",
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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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eval_results.txt
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epoch = 3.0
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eval_CR = 91.05
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eval_MPQA = 89.6
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eval_MR = 84.85
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eval_MRPC = 75.98
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eval_SICKEntailment = 83.8
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eval_SST2 = 89.91
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eval_SST5 = 48.77
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eval_SUBJ = 95.52
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eval_TREC = 82.46
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eval_avg_sts = 0.8477483274295515
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eval_avg_transfer = 82.43777777777777
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eval_sickr_spearman = 0.8258941648240284
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eval_stsb_spearman = 0.8696024900350746
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a60e2e1f8cfc51df2931886d39c9a7b5ef39f8ca04fb2a21eeb2d5d1d6e541b
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size 2681374404
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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:f2fd679c1ceea7fceae6f8faa2cfdd02c985b85d2815c2d6d8fc99b880da13a9
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size 1340700103
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb6a0f6bef3bcdf9b762cffc006b4f5e91c0aeb7f43e07d7f187706c7dcbfa5d
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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_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, "model_max_length": 512, "name_or_path": "bert-large-uncased"}
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train_results.txt
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epoch = 3.0
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train_runtime = 1994.4448
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train_samples_per_second = 0.811
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trainer_state.json
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