Model save

.gitignore

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+checkpoint-*/

config.json

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+  "adapters": {
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+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "architectures": [
+    "BertPrefixForSequenceClassification"
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+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "finetuning_task": "wic",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
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+  "intermediate_size": 4096,
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+  "model_type": "bert",
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+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "pre_seq_len": 1,
+  "prefix_hidden_size": 512,
+  "prefix_projection": true,
+  "problem_type": "single_label_classification",
+  "teacher_model_location": "/home/user17/code/COLING/wic_tuning/checkpoints/20230828140242/",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
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tokenizer_config.json

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+{
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+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "bert-large-cased",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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