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Create config.json

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  1. config.json +26 -18
config.json CHANGED
@@ -1,27 +1,35 @@
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  {
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- "_name_or_path": "bert-base-uncased",
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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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- "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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- "problem_type": "single_label_classification",
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- "torch_dtype": "float32",
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- "transformers_version": "4.42.4",
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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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  {
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+ "model_type": "bert",
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  "architectures": [
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+ "BertForSequenceClassification" // Cambia esto si tu modelo realiza una tarea diferente
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  ],
 
 
 
 
 
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  "hidden_size": 768,
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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  "intermediate_size": 3072,
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+ "hidden_act": "gelu",
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+ "initializer_range": 0.02,
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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+ "vocab_size": 30522,
 
 
 
 
 
 
 
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  "type_vocab_size": 2,
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+ "task_specific_params": {
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+ "text-classification": {
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+ "num_labels": 2 // Ajusta este número según la cantidad de clases en tu tarea
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+ }
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+ },
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_dropout_prob": 0.1,
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+ "pad_token_id": 0,
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+ "bos_token_id": 101,
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+ "eos_token_id": 102,
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+ "id2label": {
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+ "0": "LABEL_0", // Ajusta estos valores según las etiquetas de tu tarea
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+ "1": "LABEL_1"
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+ },
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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+ },
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+ "finetuning_task": "text-classification"
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  }