add model for ajgt dataset

config.json

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+{
+  "_name_or_path": "aubmindlab/bert-base-arabertv02-twitter",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "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": "4.16.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 64000
+}

optimizer.pt

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+size 1081675357

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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+{"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": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_basic_tokenize": true, "never_split": ["[بريد]", "[مستخدم]", "[رابط]"], "max_len": 512, "special_tokens_map_file": null, "name_or_path": "aubmindlab/bert-base-arabertv02-twitter", "use_fast": true, "tokenizer_class": "BertTokenizer"}

trainer_state.json

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+{
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+  "best_model_checkpoint": "BERT-AJGT/checkpoint-30",
+  "epoch": 6.0,
+  "global_step": 36,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+  "max_steps": 120,
+  "num_train_epochs": 20,
+  "total_flos": 420675008084580.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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