Pre-trained on TCDB and fine-tuned on ionchannels

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "ghazikhanihamed/TCDB-BERT",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.13.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30
+}

pytorch_model.bin

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+oid sha256:a904f70d39af6d145ffcc5ea9c3301b52ef25d30fc76e3185837780557266173
+size 344351243

training_args.bin

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+size 2863