Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+ "_name_or_path": "ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT",
+ "architectures": [
+ "BertForTokenClassification"
+ ],
+ "attention_probs_dropout_prob": 0.1,
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+ "directionality": "bidi",
+ "hidden_act": "gelu",
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+ "hidden_size": 768,
+ "id2label": {
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+ "1": "B",
+ "2": "I"
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+ "label2id": {
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+ "I": "2",
+ "O": "0"
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+ "layer_norm_eps": 1e-12,
+ "max_position_embeddings": 512,
+ "model_type": "bert",
+ "num_attention_heads": 12,
+ "num_hidden_layers": 12,
+ "pad_token_id": 0,
+ "pooler_fc_size": 768,
+ "pooler_num_attention_heads": 12,
+ "pooler_num_fc_layers": 3,
+ "pooler_size_per_head": 128,
+ "pooler_type": "first_token_transform",
+ "position_embedding_type": "absolute",
+ "torch_dtype": "float32",
+ "transformers_version": "4.27.4",
+ "type_vocab_size": 2,
+ "use_cache": true,
+ "vocab_size": 119547
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+ "cls_token": "[CLS]",
+ "mask_token": "[MASK]",
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+ "add_prefix_space": true,
+ "cls_token": "[CLS]",
+ "do_lower_case": false,
+ "mask_token": "[MASK]",
+ "model_max_length": 512,
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "special_tokens_map_file": null,
+ "strip_accents": null,
+ "tokenize_chinese_chars": true,
+ "tokenizer_class": "BertTokenizer",
+ "unk_token": "[UNK]"
+}

training_args.bin

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