biobert finetuned on the select data subset

final_biobert/config.json

@@ -1,27 +0,0 @@
-{
-  "_name_or_path": "dmis-lab/biobert-v1.1",
-  "architectures": [
-    "BertForSequenceClassification"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "gradient_checkpointing": false,
-  "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": "4.24.0",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 28996
-}

final_biobert/pytorch_model.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
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-size 433318253

final_biobert/training_args.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3f4a44379e411b4d4550aa17b0f9ec8e3b4d9bccb4326d35ee2ae95cb2bf6fe2
-size 3311