Training in progress, epoch 1

.gitignore

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added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "VinAI/Phobert-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
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+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
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+  "max_position_embeddings": 258,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "PhobertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

pytorch_model.bin

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special_tokens_map.json

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+{
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+  "mask_token": "<mask>",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
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tokenizer_config.json

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+{
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
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+  "tokenizer_class": "PhobertTokenizer",
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+}

training_args.bin

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