Training in progress, step 500
Browse files- config.json +17 -15
- pytorch_model.bin +2 -2
- runs/Jun13_15-19-05_a30db051be23/1655134648.392652/events.out.tfevents.1655134648.a30db051be23.1311.3 +3 -0
- runs/Jun13_15-19-05_a30db051be23/1655134786.8272123/events.out.tfevents.1655134786.a30db051be23.1311.5 +3 -0
- runs/Jun13_15-19-05_a30db051be23/1655135035.3613205/events.out.tfevents.1655135035.a30db051be23.1311.7 +3 -0
- runs/Jun13_15-19-05_a30db051be23/events.out.tfevents.1655133583.a30db051be23.1311.0 +2 -2
- runs/Jun13_15-19-05_a30db051be23/events.out.tfevents.1655134648.a30db051be23.1311.2 +3 -0
- runs/Jun13_15-19-05_a30db051be23/events.out.tfevents.1655134786.a30db051be23.1311.4 +3 -0
- runs/Jun13_15-19-05_a30db051be23/events.out.tfevents.1655135035.a30db051be23.1311.6 +3 -0
- runs/Jun13_15-52-03_a30db051be23/1655135531.5349307/events.out.tfevents.1655135531.a30db051be23.1311.9 +3 -0
- runs/Jun13_15-52-03_a30db051be23/events.out.tfevents.1655135531.a30db051be23.1311.8 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "
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"activation": "gelu",
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"architectures": [
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"
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],
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"
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"
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"
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"5": "LABEL_5"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_4": 4,
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"LABEL_5": 5
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},
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"max_position_embeddings": 512,
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"model_type": "
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"
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"
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.19.4",
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"
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}
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{
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"_name_or_path": "bert-base-cased",
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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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"5": "LABEL_5"
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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_4": 4,
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"LABEL_5": 5
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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": "4.19.4",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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pytorch_model.bin
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runs/Jun13_15-52-03_a30db051be23/1655135531.5349307/events.out.tfevents.1655135531.a30db051be23.1311.9
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case":
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{"do_lower_case": false, "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-cased", "tokenizer_class": "BertTokenizer"}
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training_args.bin
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vocab.txt
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