Modelo Distilbert C3

config.json

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+{
+  "_name_or_path": "../pre_trained_models/esm2_t33_650M_UR50D",
+  "architectures": [
+    "BertRnnDist"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout": null,
+  "cnn_dropout": 0.1,
+  "cnn_filters": 512,
+  "emb_layer_norm_before": false,
+  "esmfold_config": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "is_folding_model": false,
+  "layer_norm_eps": 1e-05,
+  "length": 50,
+  "mask_token_id": 32,
+  "max_position_embeddings": 1026,
+  "model_type": "bert",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 33,
+  "num_rnn_layer": 2,
+  "pad_token_id": 1,
+  "position_embedding_type": "rotary",
+  "rnn": "lstm",
+  "rnn_dropout": 0.1,
+  "rnn_hidden": 768,
+  "token_dropout": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_list": null,
+  "vocab_size": 33
+}

pytorch_model.bin

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training_args.bin

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