intial commit

config.json

@@ -0,0 +1,41 @@
+{
+  "_name_or_path": "allenai/scibert_scivocab_uncased",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-bio",
+    "1": "I-bio",
+    "2": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-bio": 0,
+    "I-bio": 1,
+    "O": 2
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.11.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31090
+}

eval_results.txt

@@ -0,0 +1,16 @@
+eval_loss = 0.00010037596803158522
+eval_precision = 0.9987293519695044
+eval_recall = 0.9987293519695044
+eval_f1 = 0.9987293519695044
+eval_classification report =               precision    recall  f1-score   support
+
+         bio       1.00      1.00      1.00       787
+
+   micro avg       1.00      1.00      1.00       787
+   macro avg       1.00      1.00      1.00       787
+weighted avg       1.00      1.00      1.00       787
+
+eval_runtime = 14.5362
+eval_samples_per_second = 63.497
+eval_steps_per_second = 7.98
+epoch = 13.0

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4b69789512182d00c8e9eac3826e0c67244034649676adfd38049530b7444c58
+size 437407601

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

test_results.txt

@@ -0,0 +1,15 @@
+test_loss = 0.12092786282300949
+test_precision = 0.8673469387755102
+test_recall = 0.8854166666666666
+test_f1 = 0.8762886597938144
+test_classification report =               precision    recall  f1-score   support
+
+         bio       0.87      0.89      0.88       960
+
+   micro avg       0.87      0.89      0.88       960
+   macro avg       0.87      0.89      0.88       960
+weighted avg       0.87      0.89      0.88       960
+
+test_runtime = 14.9151
+test_samples_per_second = 63.158
+test_steps_per_second = 7.911

tokenizer_config.json

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+{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "allenai/scibert_scivocab_uncased", "tokenizer_class": "BertTokenizer"}

training_args.bin

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+size 2927