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Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask1_holistic

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  1. README.md +344 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: aubmindlab/bert-base-arabertv02
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask1_grammar
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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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+ # Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask1_grammar
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+
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+ This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5274
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+ - Qwk: 0.5661
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+ - Mse: 0.5274
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+ - Rmse: 0.7262
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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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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+ | No log | 0.0213 | 2 | 4.1570 | 0.0062 | 4.1570 | 2.0389 |
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+ | No log | 0.0426 | 4 | 3.0412 | 0.0569 | 3.0412 | 1.7439 |
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+ | No log | 0.0638 | 6 | 1.5052 | 0.0484 | 1.5052 | 1.2269 |
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+ | No log | 0.0851 | 8 | 0.9490 | 0.0635 | 0.9490 | 0.9741 |
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+ | No log | 0.1064 | 10 | 0.8485 | -0.0531 | 0.8485 | 0.9211 |
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+ | No log | 0.1277 | 12 | 0.8079 | 0.0428 | 0.8079 | 0.8988 |
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+ | No log | 0.1489 | 14 | 0.8232 | 0.1046 | 0.8232 | 0.9073 |
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+ | No log | 0.1702 | 16 | 0.6783 | 0.1773 | 0.6783 | 0.8236 |
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+ | No log | 0.1915 | 18 | 0.5992 | 0.3810 | 0.5992 | 0.7741 |
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+ | No log | 0.2128 | 20 | 0.5719 | 0.3971 | 0.5719 | 0.7563 |
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+ | No log | 0.2340 | 22 | 0.5573 | 0.4182 | 0.5573 | 0.7465 |
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+ | No log | 0.2553 | 24 | 0.5520 | 0.4522 | 0.5520 | 0.7430 |
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+ | No log | 0.2766 | 26 | 0.5245 | 0.4732 | 0.5245 | 0.7242 |
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+ | No log | 0.2979 | 28 | 0.5186 | 0.4861 | 0.5186 | 0.7202 |
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+ | No log | 0.3191 | 30 | 0.5537 | 0.3462 | 0.5537 | 0.7441 |
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+ | No log | 0.3404 | 32 | 0.5267 | 0.4769 | 0.5267 | 0.7258 |
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+ | No log | 0.3617 | 34 | 0.5457 | 0.4942 | 0.5457 | 0.7387 |
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+ | No log | 0.3830 | 36 | 0.6571 | 0.4994 | 0.6571 | 0.8106 |
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+ | No log | 0.4043 | 38 | 0.5175 | 0.4843 | 0.5175 | 0.7193 |
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+ | No log | 0.4255 | 40 | 0.5075 | 0.4987 | 0.5075 | 0.7124 |
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+ | No log | 0.4468 | 42 | 0.6732 | 0.2381 | 0.6732 | 0.8205 |
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+ | No log | 0.4681 | 44 | 0.7805 | 0.1625 | 0.7805 | 0.8835 |
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+ | No log | 0.4894 | 46 | 0.7637 | 0.1298 | 0.7637 | 0.8739 |
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+ | No log | 0.5106 | 48 | 0.6519 | 0.2204 | 0.6519 | 0.8074 |
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+ | No log | 0.5319 | 50 | 0.5216 | 0.4499 | 0.5216 | 0.7223 |
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+ | No log | 0.5532 | 52 | 0.5194 | 0.4844 | 0.5194 | 0.7207 |
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+ | No log | 0.5745 | 54 | 0.5598 | 0.5072 | 0.5598 | 0.7482 |
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+ | No log | 0.5957 | 56 | 0.5452 | 0.5186 | 0.5452 | 0.7384 |
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+ | No log | 0.6170 | 58 | 0.5168 | 0.5452 | 0.5168 | 0.7189 |
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+ | No log | 0.6383 | 60 | 0.4892 | 0.5408 | 0.4892 | 0.6994 |
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+ | No log | 0.6596 | 62 | 0.5187 | 0.5015 | 0.5187 | 0.7202 |
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+ | No log | 0.6809 | 64 | 0.5277 | 0.4747 | 0.5277 | 0.7265 |
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+ | No log | 0.7021 | 66 | 0.5633 | 0.4785 | 0.5633 | 0.7505 |
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+ | No log | 0.7234 | 68 | 0.5170 | 0.5582 | 0.5170 | 0.7190 |
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+ | No log | 0.7447 | 70 | 0.5036 | 0.5782 | 0.5036 | 0.7097 |
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+ | No log | 0.7660 | 72 | 0.5519 | 0.5765 | 0.5519 | 0.7429 |
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+ | No log | 0.7872 | 74 | 0.5264 | 0.5612 | 0.5264 | 0.7255 |
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+ | No log | 0.8085 | 76 | 0.4798 | 0.5508 | 0.4798 | 0.6926 |
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+ | No log | 0.8298 | 78 | 0.4443 | 0.5326 | 0.4443 | 0.6665 |
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+ | No log | 0.8511 | 80 | 0.4651 | 0.5066 | 0.4651 | 0.6820 |
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+ | No log | 0.8723 | 82 | 0.4661 | 0.5223 | 0.4661 | 0.6827 |
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+ | No log | 0.8936 | 84 | 0.4517 | 0.5465 | 0.4517 | 0.6721 |
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+ | No log | 0.9149 | 86 | 0.4792 | 0.5160 | 0.4792 | 0.6923 |
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+ | No log | 0.9362 | 88 | 0.5465 | 0.4305 | 0.5465 | 0.7393 |
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+ | No log | 0.9574 | 90 | 0.5573 | 0.4272 | 0.5573 | 0.7465 |
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+ | No log | 0.9787 | 92 | 0.5717 | 0.4128 | 0.5717 | 0.7561 |
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+ | No log | 1.0 | 94 | 0.5082 | 0.5749 | 0.5082 | 0.7129 |
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+ | No log | 1.0213 | 96 | 0.5163 | 0.5723 | 0.5163 | 0.7186 |
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+ | No log | 1.0426 | 98 | 0.5538 | 0.5780 | 0.5538 | 0.7442 |
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+ | No log | 1.0638 | 100 | 0.5070 | 0.5891 | 0.5070 | 0.7121 |
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+ | No log | 1.0851 | 102 | 0.4661 | 0.6082 | 0.4661 | 0.6827 |
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+ | No log | 1.1064 | 104 | 0.4772 | 0.5968 | 0.4772 | 0.6908 |
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+ | No log | 1.1277 | 106 | 0.5048 | 0.5052 | 0.5048 | 0.7105 |
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+ | No log | 1.1489 | 108 | 0.5362 | 0.4528 | 0.5362 | 0.7323 |
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+ | No log | 1.1702 | 110 | 0.5384 | 0.4811 | 0.5384 | 0.7338 |
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+ | No log | 1.1915 | 112 | 0.4743 | 0.6027 | 0.4743 | 0.6887 |
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+ | No log | 1.2128 | 114 | 0.4891 | 0.6256 | 0.4891 | 0.6994 |
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+ | No log | 1.2340 | 116 | 0.5151 | 0.6011 | 0.5151 | 0.7177 |
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+ | No log | 1.2553 | 118 | 0.5462 | 0.5755 | 0.5462 | 0.7390 |
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+ | No log | 1.2766 | 120 | 0.5263 | 0.5829 | 0.5263 | 0.7255 |
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+ | No log | 1.2979 | 122 | 0.5510 | 0.5438 | 0.5510 | 0.7423 |
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+ | No log | 1.3191 | 124 | 0.5436 | 0.5883 | 0.5436 | 0.7373 |
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+ | No log | 1.3404 | 126 | 0.5137 | 0.6085 | 0.5137 | 0.7167 |
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+ | No log | 1.3617 | 128 | 0.4834 | 0.6243 | 0.4834 | 0.6953 |
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+ | No log | 1.3830 | 130 | 0.4673 | 0.6046 | 0.4673 | 0.6836 |
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+ | No log | 1.4043 | 132 | 0.4821 | 0.6110 | 0.4821 | 0.6944 |
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+ | No log | 1.4255 | 134 | 0.5447 | 0.4874 | 0.5447 | 0.7380 |
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+ | No log | 1.4468 | 136 | 0.5302 | 0.4934 | 0.5302 | 0.7282 |
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+ | No log | 1.4681 | 138 | 0.5457 | 0.4585 | 0.5457 | 0.7387 |
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+ | No log | 1.4894 | 140 | 0.5586 | 0.4533 | 0.5586 | 0.7474 |
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+ | No log | 1.5106 | 142 | 0.5354 | 0.5055 | 0.5354 | 0.7317 |
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+ | No log | 1.5319 | 144 | 0.5272 | 0.5291 | 0.5272 | 0.7261 |
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+ | No log | 1.5532 | 146 | 0.5379 | 0.4764 | 0.5379 | 0.7334 |
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+ | No log | 1.5745 | 148 | 0.5288 | 0.4913 | 0.5288 | 0.7272 |
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+ | No log | 1.5957 | 150 | 0.5327 | 0.5760 | 0.5327 | 0.7299 |
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+ | No log | 1.6170 | 152 | 0.5967 | 0.5567 | 0.5967 | 0.7724 |
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+ | No log | 1.6383 | 154 | 0.6085 | 0.5521 | 0.6085 | 0.7801 |
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+ | No log | 1.6596 | 156 | 0.5926 | 0.5517 | 0.5926 | 0.7698 |
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+ | No log | 1.6809 | 158 | 0.6374 | 0.5800 | 0.6374 | 0.7984 |
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+ | No log | 1.7021 | 160 | 0.7886 | 0.5294 | 0.7886 | 0.8880 |
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+ | No log | 1.7234 | 162 | 0.9284 | 0.4854 | 0.9284 | 0.9635 |
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+ | No log | 1.7447 | 164 | 0.7619 | 0.4989 | 0.7619 | 0.8728 |
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+ | No log | 1.7660 | 166 | 0.5230 | 0.5294 | 0.5230 | 0.7232 |
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+ | No log | 1.7872 | 168 | 0.4656 | 0.5490 | 0.4656 | 0.6823 |
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+ | No log | 1.8085 | 170 | 0.4778 | 0.4846 | 0.4778 | 0.6912 |
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+ | No log | 1.8298 | 172 | 0.5005 | 0.4198 | 0.5005 | 0.7074 |
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+ | No log | 1.8511 | 174 | 0.4891 | 0.4374 | 0.4891 | 0.6993 |
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+ | No log | 1.8723 | 176 | 0.4630 | 0.4928 | 0.4630 | 0.6805 |
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+ | No log | 1.8936 | 178 | 0.4635 | 0.4765 | 0.4635 | 0.6808 |
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+ | No log | 1.9149 | 180 | 0.4697 | 0.4772 | 0.4697 | 0.6854 |
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+ | No log | 1.9362 | 182 | 0.4663 | 0.4869 | 0.4663 | 0.6829 |
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+ | No log | 1.9574 | 184 | 0.4474 | 0.5148 | 0.4474 | 0.6689 |
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+ | No log | 1.9787 | 186 | 0.4545 | 0.5929 | 0.4545 | 0.6742 |
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+ | No log | 2.0 | 188 | 0.4620 | 0.5892 | 0.4620 | 0.6797 |
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+ | No log | 2.0213 | 190 | 0.4737 | 0.6127 | 0.4737 | 0.6883 |
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+ | No log | 2.0426 | 192 | 0.5642 | 0.4721 | 0.5642 | 0.7511 |
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+ | No log | 2.0638 | 194 | 0.5924 | 0.4422 | 0.5924 | 0.7697 |
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+ | No log | 2.0851 | 196 | 0.5725 | 0.4549 | 0.5725 | 0.7566 |
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+ | No log | 2.1064 | 198 | 0.5178 | 0.5035 | 0.5178 | 0.7196 |
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+ | No log | 2.1277 | 200 | 0.4856 | 0.5461 | 0.4856 | 0.6968 |
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+ | No log | 2.1489 | 202 | 0.4960 | 0.5400 | 0.4960 | 0.7043 |
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+ | No log | 2.1702 | 204 | 0.4993 | 0.5412 | 0.4993 | 0.7066 |
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+ | No log | 2.1915 | 206 | 0.4998 | 0.5368 | 0.4998 | 0.7069 |
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+ | No log | 2.2128 | 208 | 0.5087 | 0.5172 | 0.5087 | 0.7133 |
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+ | No log | 2.2340 | 210 | 0.5106 | 0.5005 | 0.5106 | 0.7146 |
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+ | No log | 2.2553 | 212 | 0.5308 | 0.4595 | 0.5308 | 0.7285 |
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+ | No log | 2.2766 | 214 | 0.5540 | 0.5126 | 0.5540 | 0.7443 |
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+ | No log | 2.2979 | 216 | 0.5418 | 0.5342 | 0.5418 | 0.7361 |
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+ | No log | 2.3191 | 218 | 0.5301 | 0.5260 | 0.5301 | 0.7281 |
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+ | No log | 2.3404 | 220 | 0.4923 | 0.5429 | 0.4923 | 0.7017 |
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+ | No log | 2.3617 | 222 | 0.4543 | 0.5897 | 0.4543 | 0.6740 |
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+ | No log | 2.3830 | 224 | 0.4965 | 0.6055 | 0.4965 | 0.7046 |
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+ | No log | 2.4043 | 226 | 0.6020 | 0.5999 | 0.6020 | 0.7759 |
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+ | No log | 2.4255 | 228 | 0.6294 | 0.5644 | 0.6294 | 0.7933 |
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+ | No log | 2.4468 | 230 | 0.6132 | 0.5671 | 0.6132 | 0.7831 |
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+ | No log | 2.4681 | 232 | 0.6374 | 0.5495 | 0.6374 | 0.7984 |
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+ | No log | 2.4894 | 234 | 0.6110 | 0.5560 | 0.6110 | 0.7817 |
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+ | No log | 2.5106 | 236 | 0.5498 | 0.5730 | 0.5498 | 0.7415 |
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+ | No log | 2.5319 | 238 | 0.4913 | 0.6078 | 0.4913 | 0.7009 |
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+ | No log | 2.5532 | 240 | 0.4748 | 0.6354 | 0.4748 | 0.6890 |
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+ | No log | 2.5745 | 242 | 0.4659 | 0.6515 | 0.4659 | 0.6826 |
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+ | No log | 2.5957 | 244 | 0.4714 | 0.6341 | 0.4714 | 0.6866 |
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+ | No log | 2.6170 | 246 | 0.5188 | 0.5720 | 0.5188 | 0.7203 |
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+ | No log | 2.6383 | 248 | 0.5001 | 0.5666 | 0.5001 | 0.7072 |
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+ | No log | 2.6596 | 250 | 0.4483 | 0.6007 | 0.4483 | 0.6695 |
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+ | No log | 2.6809 | 252 | 0.4475 | 0.5932 | 0.4475 | 0.6689 |
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+ | No log | 2.7021 | 254 | 0.4557 | 0.5495 | 0.4557 | 0.6750 |
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+ | No log | 2.7234 | 256 | 0.4414 | 0.6014 | 0.4414 | 0.6644 |
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+ | No log | 2.7447 | 258 | 0.4311 | 0.6029 | 0.4311 | 0.6566 |
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+ | No log | 2.7660 | 260 | 0.4511 | 0.5956 | 0.4511 | 0.6717 |
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+ | No log | 2.7872 | 262 | 0.4700 | 0.5768 | 0.4700 | 0.6855 |
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+ | No log | 2.8085 | 264 | 0.4788 | 0.5873 | 0.4788 | 0.6919 |
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+ | No log | 2.8298 | 266 | 0.5112 | 0.5854 | 0.5112 | 0.7150 |
185
+ | No log | 2.8511 | 268 | 0.5085 | 0.6202 | 0.5085 | 0.7131 |
186
+ | No log | 2.8723 | 270 | 0.5342 | 0.6087 | 0.5342 | 0.7309 |
187
+ | No log | 2.8936 | 272 | 0.5446 | 0.6253 | 0.5446 | 0.7380 |
188
+ | No log | 2.9149 | 274 | 0.5907 | 0.6028 | 0.5907 | 0.7685 |
189
+ | No log | 2.9362 | 276 | 0.6219 | 0.5028 | 0.6219 | 0.7886 |
190
+ | No log | 2.9574 | 278 | 0.6360 | 0.4579 | 0.6360 | 0.7975 |
191
+ | No log | 2.9787 | 280 | 0.6147 | 0.4297 | 0.6147 | 0.7840 |
192
+ | No log | 3.0 | 282 | 0.5556 | 0.4841 | 0.5556 | 0.7454 |
193
+ | No log | 3.0213 | 284 | 0.5164 | 0.4989 | 0.5164 | 0.7186 |
194
+ | No log | 3.0426 | 286 | 0.5023 | 0.5399 | 0.5023 | 0.7087 |
195
+ | No log | 3.0638 | 288 | 0.5040 | 0.5872 | 0.5040 | 0.7099 |
196
+ | No log | 3.0851 | 290 | 0.4883 | 0.6298 | 0.4883 | 0.6988 |
197
+ | No log | 3.1064 | 292 | 0.4837 | 0.6046 | 0.4837 | 0.6955 |
198
+ | No log | 3.1277 | 294 | 0.5245 | 0.5548 | 0.5245 | 0.7242 |
199
+ | No log | 3.1489 | 296 | 0.6011 | 0.5110 | 0.6011 | 0.7753 |
200
+ | No log | 3.1702 | 298 | 0.6217 | 0.5257 | 0.6217 | 0.7885 |
201
+ | No log | 3.1915 | 300 | 0.6184 | 0.5598 | 0.6184 | 0.7864 |
202
+ | No log | 3.2128 | 302 | 0.5968 | 0.5714 | 0.5968 | 0.7725 |
203
+ | No log | 3.2340 | 304 | 0.5233 | 0.5639 | 0.5233 | 0.7234 |
204
+ | No log | 3.2553 | 306 | 0.5073 | 0.5612 | 0.5073 | 0.7123 |
205
+ | No log | 3.2766 | 308 | 0.4940 | 0.5839 | 0.4940 | 0.7028 |
206
+ | No log | 3.2979 | 310 | 0.4580 | 0.6159 | 0.4580 | 0.6768 |
207
+ | No log | 3.3191 | 312 | 0.4488 | 0.5761 | 0.4488 | 0.6699 |
208
+ | No log | 3.3404 | 314 | 0.4735 | 0.4742 | 0.4735 | 0.6881 |
209
+ | No log | 3.3617 | 316 | 0.5284 | 0.4745 | 0.5284 | 0.7269 |
210
+ | No log | 3.3830 | 318 | 0.5257 | 0.4698 | 0.5257 | 0.7250 |
211
+ | No log | 3.4043 | 320 | 0.4661 | 0.5881 | 0.4661 | 0.6827 |
212
+ | No log | 3.4255 | 322 | 0.4627 | 0.5993 | 0.4627 | 0.6802 |
213
+ | No log | 3.4468 | 324 | 0.4772 | 0.6256 | 0.4772 | 0.6908 |
214
+ | No log | 3.4681 | 326 | 0.5222 | 0.5686 | 0.5222 | 0.7227 |
215
+ | No log | 3.4894 | 328 | 0.5624 | 0.4827 | 0.5624 | 0.7499 |
216
+ | No log | 3.5106 | 330 | 0.5424 | 0.4675 | 0.5424 | 0.7365 |
217
+ | No log | 3.5319 | 332 | 0.4859 | 0.5026 | 0.4859 | 0.6971 |
218
+ | No log | 3.5532 | 334 | 0.4671 | 0.5782 | 0.4671 | 0.6835 |
219
+ | No log | 3.5745 | 336 | 0.4867 | 0.5983 | 0.4867 | 0.6977 |
220
+ | No log | 3.5957 | 338 | 0.5110 | 0.5665 | 0.5110 | 0.7149 |
221
+ | No log | 3.6170 | 340 | 0.5796 | 0.5804 | 0.5796 | 0.7613 |
222
+ | No log | 3.6383 | 342 | 0.6230 | 0.5837 | 0.6230 | 0.7893 |
223
+ | No log | 3.6596 | 344 | 0.6171 | 0.5945 | 0.6171 | 0.7856 |
224
+ | No log | 3.6809 | 346 | 0.5571 | 0.5826 | 0.5571 | 0.7464 |
225
+ | No log | 3.7021 | 348 | 0.5271 | 0.5929 | 0.5271 | 0.7260 |
226
+ | No log | 3.7234 | 350 | 0.5281 | 0.5989 | 0.5281 | 0.7267 |
227
+ | No log | 3.7447 | 352 | 0.5229 | 0.6093 | 0.5229 | 0.7231 |
228
+ | No log | 3.7660 | 354 | 0.6081 | 0.5818 | 0.6081 | 0.7798 |
229
+ | No log | 3.7872 | 356 | 0.6007 | 0.5637 | 0.6007 | 0.7751 |
230
+ | No log | 3.8085 | 358 | 0.5139 | 0.6131 | 0.5139 | 0.7169 |
231
+ | No log | 3.8298 | 360 | 0.5687 | 0.5703 | 0.5687 | 0.7541 |
232
+ | No log | 3.8511 | 362 | 0.7703 | 0.4651 | 0.7703 | 0.8776 |
233
+ | No log | 3.8723 | 364 | 0.7276 | 0.4624 | 0.7276 | 0.8530 |
234
+ | No log | 3.8936 | 366 | 0.5263 | 0.5879 | 0.5263 | 0.7255 |
235
+ | No log | 3.9149 | 368 | 0.4873 | 0.6163 | 0.4873 | 0.6980 |
236
+ | No log | 3.9362 | 370 | 0.6625 | 0.4343 | 0.6625 | 0.8140 |
237
+ | No log | 3.9574 | 372 | 0.7137 | 0.3871 | 0.7137 | 0.8448 |
238
+ | No log | 3.9787 | 374 | 0.6629 | 0.3695 | 0.6629 | 0.8142 |
239
+ | No log | 4.0 | 376 | 0.5356 | 0.4970 | 0.5356 | 0.7319 |
240
+ | No log | 4.0213 | 378 | 0.4238 | 0.6166 | 0.4238 | 0.6510 |
241
+ | No log | 4.0426 | 380 | 0.4476 | 0.5938 | 0.4476 | 0.6691 |
242
+ | No log | 4.0638 | 382 | 0.5058 | 0.5898 | 0.5058 | 0.7112 |
243
+ | No log | 4.0851 | 384 | 0.5149 | 0.5722 | 0.5149 | 0.7175 |
244
+ | No log | 4.1064 | 386 | 0.4923 | 0.6289 | 0.4923 | 0.7016 |
245
+ | No log | 4.1277 | 388 | 0.5911 | 0.5738 | 0.5911 | 0.7688 |
246
+ | No log | 4.1489 | 390 | 0.6332 | 0.5628 | 0.6332 | 0.7957 |
247
+ | No log | 4.1702 | 392 | 0.6267 | 0.5412 | 0.6267 | 0.7917 |
248
+ | No log | 4.1915 | 394 | 0.5485 | 0.5146 | 0.5485 | 0.7406 |
249
+ | No log | 4.2128 | 396 | 0.4796 | 0.5358 | 0.4796 | 0.6925 |
250
+ | No log | 4.2340 | 398 | 0.4605 | 0.5826 | 0.4605 | 0.6786 |
251
+ | No log | 4.2553 | 400 | 0.4627 | 0.5774 | 0.4627 | 0.6802 |
252
+ | No log | 4.2766 | 402 | 0.4682 | 0.5931 | 0.4682 | 0.6843 |
253
+ | No log | 4.2979 | 404 | 0.5080 | 0.5873 | 0.5080 | 0.7128 |
254
+ | No log | 4.3191 | 406 | 0.5571 | 0.5806 | 0.5571 | 0.7464 |
255
+ | No log | 4.3404 | 408 | 0.5474 | 0.6000 | 0.5474 | 0.7399 |
256
+ | No log | 4.3617 | 410 | 0.5568 | 0.5805 | 0.5568 | 0.7462 |
257
+ | No log | 4.3830 | 412 | 0.5448 | 0.5925 | 0.5448 | 0.7381 |
258
+ | No log | 4.4043 | 414 | 0.5437 | 0.5906 | 0.5437 | 0.7374 |
259
+ | No log | 4.4255 | 416 | 0.5420 | 0.6083 | 0.5420 | 0.7362 |
260
+ | No log | 4.4468 | 418 | 0.5076 | 0.6318 | 0.5076 | 0.7125 |
261
+ | No log | 4.4681 | 420 | 0.4739 | 0.6384 | 0.4739 | 0.6884 |
262
+ | No log | 4.4894 | 422 | 0.4616 | 0.6460 | 0.4616 | 0.6794 |
263
+ | No log | 4.5106 | 424 | 0.4319 | 0.5970 | 0.4319 | 0.6572 |
264
+ | No log | 4.5319 | 426 | 0.4296 | 0.5399 | 0.4296 | 0.6554 |
265
+ | No log | 4.5532 | 428 | 0.4408 | 0.5711 | 0.4408 | 0.6639 |
266
+ | No log | 4.5745 | 430 | 0.4437 | 0.5662 | 0.4437 | 0.6661 |
267
+ | No log | 4.5957 | 432 | 0.4663 | 0.5712 | 0.4663 | 0.6829 |
268
+ | No log | 4.6170 | 434 | 0.6000 | 0.4536 | 0.6000 | 0.7746 |
269
+ | No log | 4.6383 | 436 | 0.7025 | 0.4412 | 0.7025 | 0.8382 |
270
+ | No log | 4.6596 | 438 | 0.6640 | 0.4932 | 0.6640 | 0.8148 |
271
+ | No log | 4.6809 | 440 | 0.5988 | 0.5445 | 0.5988 | 0.7738 |
272
+ | No log | 4.7021 | 442 | 0.5320 | 0.5831 | 0.5320 | 0.7294 |
273
+ | No log | 4.7234 | 444 | 0.5366 | 0.6061 | 0.5366 | 0.7325 |
274
+ | No log | 4.7447 | 446 | 0.5268 | 0.5943 | 0.5268 | 0.7258 |
275
+ | No log | 4.7660 | 448 | 0.4916 | 0.5654 | 0.4916 | 0.7011 |
276
+ | No log | 4.7872 | 450 | 0.5166 | 0.5468 | 0.5166 | 0.7187 |
277
+ | No log | 4.8085 | 452 | 0.5258 | 0.4739 | 0.5258 | 0.7251 |
278
+ | No log | 4.8298 | 454 | 0.4780 | 0.5585 | 0.4780 | 0.6914 |
279
+ | No log | 4.8511 | 456 | 0.4484 | 0.5945 | 0.4484 | 0.6696 |
280
+ | No log | 4.8723 | 458 | 0.4498 | 0.6016 | 0.4498 | 0.6706 |
281
+ | No log | 4.8936 | 460 | 0.4779 | 0.5871 | 0.4779 | 0.6913 |
282
+ | No log | 4.9149 | 462 | 0.4705 | 0.6040 | 0.4705 | 0.6859 |
283
+ | No log | 4.9362 | 464 | 0.4848 | 0.6213 | 0.4848 | 0.6963 |
284
+ | No log | 4.9574 | 466 | 0.5564 | 0.5978 | 0.5564 | 0.7459 |
285
+ | No log | 4.9787 | 468 | 0.5640 | 0.5897 | 0.5640 | 0.7510 |
286
+ | No log | 5.0 | 470 | 0.5145 | 0.6273 | 0.5145 | 0.7173 |
287
+ | No log | 5.0213 | 472 | 0.5034 | 0.6247 | 0.5034 | 0.7095 |
288
+ | No log | 5.0426 | 474 | 0.5160 | 0.6336 | 0.5160 | 0.7183 |
289
+ | No log | 5.0638 | 476 | 0.5397 | 0.6019 | 0.5397 | 0.7347 |
290
+ | No log | 5.0851 | 478 | 0.5499 | 0.5674 | 0.5499 | 0.7415 |
291
+ | No log | 5.1064 | 480 | 0.4940 | 0.6336 | 0.4940 | 0.7028 |
292
+ | No log | 5.1277 | 482 | 0.4634 | 0.6266 | 0.4634 | 0.6807 |
293
+ | No log | 5.1489 | 484 | 0.4504 | 0.6109 | 0.4504 | 0.6711 |
294
+ | No log | 5.1702 | 486 | 0.4472 | 0.6167 | 0.4472 | 0.6687 |
295
+ | No log | 5.1915 | 488 | 0.4768 | 0.5973 | 0.4768 | 0.6905 |
296
+ | No log | 5.2128 | 490 | 0.4885 | 0.6054 | 0.4885 | 0.6989 |
297
+ | No log | 5.2340 | 492 | 0.4607 | 0.6055 | 0.4607 | 0.6787 |
298
+ | No log | 5.2553 | 494 | 0.4848 | 0.5690 | 0.4848 | 0.6963 |
299
+ | No log | 5.2766 | 496 | 0.5042 | 0.5817 | 0.5042 | 0.7101 |
300
+ | No log | 5.2979 | 498 | 0.5107 | 0.5889 | 0.5107 | 0.7147 |
301
+ | 0.5018 | 5.3191 | 500 | 0.5829 | 0.5899 | 0.5829 | 0.7635 |
302
+ | 0.5018 | 5.3404 | 502 | 0.6517 | 0.5201 | 0.6517 | 0.8073 |
303
+ | 0.5018 | 5.3617 | 504 | 0.5851 | 0.5612 | 0.5851 | 0.7649 |
304
+ | 0.5018 | 5.3830 | 506 | 0.5076 | 0.5738 | 0.5076 | 0.7125 |
305
+ | 0.5018 | 5.4043 | 508 | 0.4688 | 0.5912 | 0.4688 | 0.6847 |
306
+ | 0.5018 | 5.4255 | 510 | 0.4580 | 0.5795 | 0.4580 | 0.6768 |
307
+ | 0.5018 | 5.4468 | 512 | 0.4422 | 0.5968 | 0.4422 | 0.6650 |
308
+ | 0.5018 | 5.4681 | 514 | 0.4394 | 0.6115 | 0.4394 | 0.6629 |
309
+ | 0.5018 | 5.4894 | 516 | 0.5108 | 0.6360 | 0.5108 | 0.7147 |
310
+ | 0.5018 | 5.5106 | 518 | 0.6011 | 0.5937 | 0.6011 | 0.7753 |
311
+ | 0.5018 | 5.5319 | 520 | 0.5667 | 0.5927 | 0.5667 | 0.7528 |
312
+ | 0.5018 | 5.5532 | 522 | 0.4852 | 0.6446 | 0.4852 | 0.6965 |
313
+ | 0.5018 | 5.5745 | 524 | 0.4709 | 0.6081 | 0.4709 | 0.6862 |
314
+ | 0.5018 | 5.5957 | 526 | 0.4704 | 0.5964 | 0.4704 | 0.6859 |
315
+ | 0.5018 | 5.6170 | 528 | 0.4563 | 0.6114 | 0.4563 | 0.6755 |
316
+ | 0.5018 | 5.6383 | 530 | 0.4487 | 0.5932 | 0.4487 | 0.6699 |
317
+ | 0.5018 | 5.6596 | 532 | 0.4653 | 0.5973 | 0.4653 | 0.6821 |
318
+ | 0.5018 | 5.6809 | 534 | 0.5282 | 0.5564 | 0.5282 | 0.7268 |
319
+ | 0.5018 | 5.7021 | 536 | 0.6115 | 0.4904 | 0.6115 | 0.7820 |
320
+ | 0.5018 | 5.7234 | 538 | 0.6489 | 0.4966 | 0.6489 | 0.8055 |
321
+ | 0.5018 | 5.7447 | 540 | 0.5662 | 0.5511 | 0.5662 | 0.7524 |
322
+ | 0.5018 | 5.7660 | 542 | 0.4932 | 0.6087 | 0.4932 | 0.7023 |
323
+ | 0.5018 | 5.7872 | 544 | 0.5044 | 0.6244 | 0.5044 | 0.7102 |
324
+ | 0.5018 | 5.8085 | 546 | 0.4846 | 0.6482 | 0.4846 | 0.6961 |
325
+ | 0.5018 | 5.8298 | 548 | 0.4979 | 0.6382 | 0.4979 | 0.7056 |
326
+ | 0.5018 | 5.8511 | 550 | 0.5248 | 0.6293 | 0.5248 | 0.7244 |
327
+ | 0.5018 | 5.8723 | 552 | 0.6130 | 0.5668 | 0.6130 | 0.7829 |
328
+ | 0.5018 | 5.8936 | 554 | 0.7326 | 0.5370 | 0.7326 | 0.8559 |
329
+ | 0.5018 | 5.9149 | 556 | 0.6693 | 0.5719 | 0.6693 | 0.8181 |
330
+ | 0.5018 | 5.9362 | 558 | 0.5443 | 0.6033 | 0.5443 | 0.7378 |
331
+ | 0.5018 | 5.9574 | 560 | 0.5230 | 0.6091 | 0.5230 | 0.7232 |
332
+ | 0.5018 | 5.9787 | 562 | 0.5291 | 0.5794 | 0.5291 | 0.7274 |
333
+ | 0.5018 | 6.0 | 564 | 0.5529 | 0.5504 | 0.5529 | 0.7436 |
334
+ | 0.5018 | 6.0213 | 566 | 0.6011 | 0.5209 | 0.6011 | 0.7753 |
335
+ | 0.5018 | 6.0426 | 568 | 0.5883 | 0.5402 | 0.5883 | 0.7670 |
336
+ | 0.5018 | 6.0638 | 570 | 0.5274 | 0.5661 | 0.5274 | 0.7262 |
337
+
338
+
339
+ ### Framework versions
340
+
341
+ - Transformers 4.44.2
342
+ - Pytorch 2.4.0+cu118
343
+ - Datasets 2.21.0
344
+ - Tokenizers 0.19.1
config.json ADDED
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+ "use_cache": true,
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+ "vocab_size": 64000
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+ }
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