Training in progress, step 14000
Browse files- .gitignore +1 -0
- config.json +26 -0
- eval_results.txt +0 -0
- pytorch_model.bin +3 -0
- runs/Jan21_22-11-11_5e06f00e3605/1642803084.9176593/events.out.tfevents.1642803084.5e06f00e3605.2026.1 +3 -0
- runs/Jan21_22-11-11_5e06f00e3605/events.out.tfevents.1642803084.5e06f00e3605.2026.0 +3 -0
- runs/Jan21_22-11-11_5e06f00e3605/events.out.tfevents.1642816317.5e06f00e3605.2026.2 +3 -0
- runs/Jan22_02-17-03_5e06f00e3605/1642817834.0300016/events.out.tfevents.1642817834.5e06f00e3605.2026.4 +3 -0
- runs/Jan22_02-17-03_5e06f00e3605/events.out.tfevents.1642817834.5e06f00e3605.2026.3 +3 -0
- runs/Jan22_02-24-40_5e06f00e3605/1642818286.726912/events.out.tfevents.1642818286.5e06f00e3605.3003.1 +3 -0
- runs/Jan22_02-24-40_5e06f00e3605/events.out.tfevents.1642818286.5e06f00e3605.3003.0 +3 -0
- runs/Jan22_02-41-19_5e06f00e3605/1642819466.6391468/events.out.tfevents.1642819466.5e06f00e3605.3137.1 +3 -0
- runs/Jan22_02-41-19_5e06f00e3605/events.out.tfevents.1642819466.5e06f00e3605.3137.0 +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": "alistvt/bert-base-uncased-pretrained-mlm-coqa-stories",
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"architectures": [
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"BertForQuestionAnswering"
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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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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pytorch_model.bin
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special_tokens_map.json
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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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