Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "Fsoft-AIC/videberta-base",
+  "architectures": [
+    "DebertaV2ForTokenClassification"
+  ],
+  "attention_head_size": 64,
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "I-UNITCALIBRATOR",
+    "2": "I-TREATMENT",
+    "3": "I-TRANSPORTATION",
+    "4": "I-SURGERY",
+    "5": "I-PREVENTIVEMED",
+    "6": "I-PERSONALCARE",
+    "7": "I-ORGANIZATION",
+    "8": "I-ORGAN",
+    "9": "I-OCCUPATION",
+    "10": "I-NAME",
+    "11": "I-MEDDEVICETECHNIQUE",
+    "12": "I-LOCATION",
+    "13": "I-GENDER",
+    "14": "I-FOODDRINK",
+    "15": "I-DRUGCHEMICAL",
+    "16": "I-DISEASESYMTOM",
+    "17": "I-DIAGNOSTICS",
+    "18": "I-DATETIME",
+    "19": "I-AGE",
+    "20": "B-UNITCALIBRATOR",
+    "21": "B-TREATMENT",
+    "22": "B-TRANSPORTATION",
+    "23": "B-SURGERY",
+    "24": "B-PREVENTIVEMED",
+    "25": "B-PERSONALCARE",
+    "26": "B-ORGANIZATION",
+    "27": "B-ORGAN",
+    "28": "B-OCCUPATION",
+    "29": "B-NAME",
+    "30": "B-MEDDEVICETECHNIQUE",
+    "31": "B-LOCATION",
+    "32": "B-GENDER",
+    "33": "B-FOODDRINK",
+    "34": "B-DRUGCHEMICAL",
+    "35": "B-DISEASESYMTOM",
+    "36": "B-DIAGNOSTICS",
+    "37": "B-DATETIME",
+    "38": "B-AGE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-AGE": 38,
+    "B-DATETIME": 37,
+    "B-DIAGNOSTICS": 36,
+    "B-DISEASESYMTOM": 35,
+    "B-DRUGCHEMICAL": 34,
+    "B-FOODDRINK": 33,
+    "B-GENDER": 32,
+    "B-LOCATION": 31,
+    "B-MEDDEVICETECHNIQUE": 30,
+    "B-NAME": 29,
+    "B-OCCUPATION": 28,
+    "B-ORGAN": 27,
+    "B-ORGANIZATION": 26,
+    "B-PERSONALCARE": 25,
+    "B-PREVENTIVEMED": 24,
+    "B-SURGERY": 23,
+    "B-TRANSPORTATION": 22,
+    "B-TREATMENT": 21,
+    "B-UNITCALIBRATOR": 20,
+    "I-AGE": 19,
+    "I-DATETIME": 18,
+    "I-DIAGNOSTICS": 17,
+    "I-DISEASESYMTOM": 16,
+    "I-DRUGCHEMICAL": 15,
+    "I-FOODDRINK": 14,
+    "I-GENDER": 13,
+    "I-LOCATION": 12,
+    "I-MEDDEVICETECHNIQUE": 11,
+    "I-NAME": 10,
+    "I-OCCUPATION": 9,
+    "I-ORGAN": 8,
+    "I-ORGANIZATION": 7,
+    "I-PERSONALCARE": 6,
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+    "I-SURGERY": 4,
+    "I-TRANSPORTATION": 3,
+    "I-TREATMENT": 2,
+    "I-UNITCALIBRATOR": 1,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.32.0.dev0",
+  "type_vocab_size": 0,
+  "vocab_size": 128000
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}

training_args.bin

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