Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +41 -0
- pytorch_model.bin +3 -0
- runs/May31_16-48-53_26ff09ac8dc6/1654015792.2280934/events.out.tfevents.1654015792.26ff09ac8dc6.71.1 +3 -0
- runs/May31_16-48-53_26ff09ac8dc6/events.out.tfevents.1654015792.26ff09ac8dc6.71.0 +3 -0
- runs/May31_16-52-09_26ff09ac8dc6/1654015943.4760697/events.out.tfevents.1654015943.26ff09ac8dc6.71.3 +3 -0
- runs/May31_16-52-09_26ff09ac8dc6/events.out.tfevents.1654015943.26ff09ac8dc6.71.2 +3 -0
- runs/May31_17-04-53_26ff09ac8dc6/1654016699.4811635/events.out.tfevents.1654016699.26ff09ac8dc6.71.5 +3 -0
- runs/May31_17-04-53_26ff09ac8dc6/events.out.tfevents.1654016699.26ff09ac8dc6.71.4 +3 -0
- runs/May31_17-06-04_26ff09ac8dc6/events.out.tfevents.1654016948.26ff09ac8dc6.834.0 +3 -0
- runs/May31_17-06-04_26ff09ac8dc6/events.out.tfevents.1654016992.26ff09ac8dc6.834.1 +3 -0
- runs/May31_17-06-04_26ff09ac8dc6/events.out.tfevents.1654017114.26ff09ac8dc6.834.2 +3 -0
- runs/May31_17-15-47_26ff09ac8dc6/1654017354.1413593/events.out.tfevents.1654017354.26ff09ac8dc6.834.4 +3 -0
- runs/May31_17-15-47_26ff09ac8dc6/events.out.tfevents.1654017354.26ff09ac8dc6.834.3 +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "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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"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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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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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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"LABEL_1": 1,
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"LABEL_3": 3,
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"LABEL_4": 4
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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": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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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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pytorch_model.bin
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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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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, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
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training_args.bin
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vocab.txt
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