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config.json

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+{
+  "_name_or_path": "readerbench/RoBERT-base",
+  "architectures": [
+    "BertForSequenceClassification"
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+  "attention_probs_dropout_prob": 0.1,
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+  "do_lower_case": 1,
+  "do_remove_accents": 0,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
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+  "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": "4.31.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 37788
+}

optimizer.pt

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pytorch_model.bin

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rng_state.pth

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scheduler.pt

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

trainer_state.json

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+{
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+  "best_model_checkpoint": "/content/trainer01/checkpoint-931",
+  "epoch": 1.0,
+  "global_step": 931,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
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+  "log_history": [
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+      "learning_rate": 1.8925886143931257e-05,
+      "loss": 0.3812,
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+  "num_train_epochs": 10,
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training_args.bin

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