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config.json ADDED
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+ {
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+ "_name_or_path": "bert-base-cased",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.31.0.dev0",
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+ "type_vocab_size": 2,
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+ "vocab_size": 28996
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+ }
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_results.txt ADDED
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+ eval_loss = 0.13637986211106182
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+ eval_precision = 0.7977915804002761
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+ eval_recall = 0.7585301837270341
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+ eval_f1 = 0.777665657584931
tokenizer_config.json ADDED
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+ {"clean_up_tokenization_spaces": true, "cls_token": "[CLS]", "do_lower_case": false, "mask_token": "[MASK]", "model_max_length": 512, "pad_token": "[PAD]", "sep_token": "[SEP]", "strip_accents": null, "tokenize_chinese_chars": true, "tokenizer_class": "BertTokenizer", "unk_token": "[UNK]", "special_tokens_map_file": "/data1/brandsena/BERT_models/ArchaeoBERT/special_tokens_map.json", "full_tokenizer_file": "/data1/brandsena/BERT_models/ArchaeoBERT/tokenizer.json"}
training_args.bin ADDED
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vocab.txt ADDED
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