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config.json ADDED
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+ {
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+ "_name_or_path": "kamalkraj/bioelectra-base-discriminator-pubmed",
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+ "architectures": [
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+ "ElectraForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "embedding_size": 768,
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+ "hidden_act": "gelu",
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+ "id2label": {
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+ "0": "B-bio",
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+ "1": "I-bio",
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+ "2": "O"
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+ "model_type": "electra",
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+ "num_hidden_layers": 12,
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+ "position_embedding_type": "absolute",
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+ "summary_type": "first",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 2,
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+ "vocab_size": 30522
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+ }
eval_results.txt ADDED
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+ eval_loss = 4.506559889705386e-06
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+ eval_precision = 1.0
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+ eval_recall = 1.0
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+ eval_f1 = 1.0
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+ eval_runtime = 112.241
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+ eval_samples_per_second = 41.001
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+ eval_steps_per_second = 5.132
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+ epoch = 20.0
pytorch_model.bin ADDED
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special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
test_predictions.txt ADDED
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test_results.txt ADDED
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+ test_loss = 0.0624217763543129
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+ test_precision = 0.9428359317000743
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+ test_recall = 0.9433611884865367
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+ test_f1 = 0.9430984869581361
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+ test_runtime = 118.7495
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+ test_samples_per_second = 40.522
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+ test_steps_per_second = 5.069
tokenizer_config.json ADDED
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training_args.bin ADDED
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+ size 2927
vocab.txt ADDED
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