add fine tuned model on ASDT dataset

config.json

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+{
+  "_name_or_path": "/home/jupyter/hub_models/BERT-ASTD",
+  "_num_labels": 2,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.2,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.2,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.16.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

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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tf_model.h5

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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, "special_tokens_map_file": null, "full_tokenizer_file": null, "name_or_path": "asafaya/bert-large-arabic", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}

trainer_state.json

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+{
+  "best_metric": 0.4706691801548004,
+  "best_model_checkpoint": "BERT-ASTD-b/checkpoint-100",
+  "epoch": 7.142857142857143,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "epoch": 7.14,
+      "learning_rate": 3.2142857142857144e-05,
+      "loss": 0.1503,
+      "step": 100
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+      "eval_accuracy": 0.9061032863849765,
+      "eval_f1": 0.9,
+      "eval_loss": 0.4706691801548004,
+      "eval_precision": 0.9574468085106383,
+      "eval_recall": 0.8490566037735849,
+      "eval_runtime": 1.5526,
+      "eval_samples_per_second": 137.187,
+      "eval_steps_per_second": 2.576,
+      "step": 100
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+  "max_steps": 280,
+  "num_train_epochs": 20,
+  "total_flos": 463144405075800.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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