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full_bert

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mehdie/base_BERT

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  1. README.md +99 -0
  2. config.json +24 -0
  3. generation_config.json +5 -0
  4. model.safetensors +3 -0
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  16. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: full_bert
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # full_bert
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9118
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 10000
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+ - num_epochs: 40.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-------:|:---------------:|
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+ | 6.778 | 1.0 | 55319 | 6.4618 |
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+ | 6.4271 | 2.0 | 110638 | 6.3701 |
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+ | 6.3616 | 3.0 | 165957 | 6.3217 |
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+ | 6.3257 | 4.0 | 221276 | 6.2966 |
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+ | 6.3001 | 5.0 | 276595 | 6.2759 |
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+ | 6.2834 | 6.0 | 331914 | 6.2610 |
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+ | 6.2699 | 7.0 | 387233 | 6.2465 |
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+ | 6.2565 | 8.0 | 442552 | 6.1939 |
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+ | 6.2221 | 9.0 | 497871 | 6.1154 |
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+ | 6.0721 | 10.0 | 553190 | 5.9524 |
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+ | 5.9212 | 11.0 | 608509 | 5.7947 |
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+ | 5.8113 | 12.0 | 663828 | 5.7161 |
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+ | 5.7509 | 13.0 | 719147 | 5.6614 |
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+ | 5.7053 | 14.0 | 774466 | 5.6158 |
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+ | 5.6665 | 15.0 | 829785 | 5.5774 |
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+ | 5.634 | 16.0 | 885104 | 5.5448 |
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+ | 5.6055 | 17.0 | 940423 | 2.7563 |
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+ | 3.3308 | 18.0 | 995742 | 2.5443 |
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+ | 2.6179 | 19.0 | 1051061 | 2.4196 |
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+ | 2.5324 | 20.0 | 1106380 | 2.3393 |
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+ | 2.4791 | 21.0 | 1161699 | 2.2755 |
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+ | 2.4105 | 22.0 | 1217018 | 2.2241 |
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+ | 2.3582 | 23.0 | 1272337 | 2.1772 |
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+ | 2.3281 | 24.0 | 1327656 | 2.1416 |
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+ | 2.2987 | 25.0 | 1382975 | 2.1137 |
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+ | 2.7859 | 26.0 | 1438294 | 2.0950 |
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+ | 2.2728 | 27.0 | 1493613 | 2.0685 |
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+ | 2.2308 | 28.0 | 1548932 | 2.0499 |
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+ | 2.1739 | 29.0 | 1604251 | 2.0082 |
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+ | 2.1569 | 30.0 | 1659570 | 1.9939 |
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+ | 2.1425 | 31.0 | 1714889 | 1.9802 |
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+ | 2.1318 | 32.0 | 1770208 | 1.9669 |
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+ | 2.1207 | 33.0 | 1825527 | 1.9583 |
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+ | 2.1111 | 34.0 | 1880846 | 1.9477 |
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+ | 2.102 | 35.0 | 1936165 | 1.9409 |
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+ | 2.0943 | 36.0 | 1991484 | 1.9313 |
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+ | 2.0871 | 37.0 | 2046803 | 1.9236 |
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+ | 2.0736 | 38.0 | 2102122 | 1.9191 |
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+ | 2.0693 | 39.0 | 2157441 | 1.9147 |
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+ | 2.0653 | 40.0 | 2212760 | 1.9118 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.3.0a0+ebedce2
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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+ {
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+ "architectures": [
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+ "BertForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 52000
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+ }
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