Add model and its dependencies

config.json

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+{
+  "_name_or_path": "EhsanAghazadeh/bert-based-uncased-sst2-e3",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "sst2",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "negative": 0,
+    "positive": 1
+  },
+  "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": "4.15.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

optimizer.pt

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+size 875986717

pytorch_model.bin

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+size 438019245

rng_state.pth

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+size 14503

scheduler.pt

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+size 623

special_tokens_map.json

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

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "EhsanAghazadeh/bert-based-uncased-sst2-e3", "tokenizer_class": "BertTokenizer"}

trainer_state.json

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+{
+  "best_metric": 0.926605504587156,
+  "best_model_checkpoint": "./bert_base/fine_tuned_models/checkpoint-2105",
+  "epoch": 1.0,
+  "global_step": 2105,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0,
+      "loss": 0.0571,
+      "step": 2105
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.926605504587156,
+      "eval_loss": 0.27417176961898804,
+      "eval_runtime": 13.7641,
+      "eval_samples_per_second": 63.353,
+      "eval_steps_per_second": 7.919,
+      "step": 2105
+    }
+  ],
+  "max_steps": 2105,
+  "num_train_epochs": 1,
+  "total_flos": 4430066616860160.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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