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Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask5_style

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  1. README.md +314 -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_TestTask5_vocabulary
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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_TestTask5_vocabulary
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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: 0.4963
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+ - Qwk: 0.5684
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+ - Mse: 0.4963
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+ - Rmse: 0.7045
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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 | 0.0198 | 2 | 4.4542 | -0.0037 | 4.4542 | 2.1105 |
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+ | No log | 0.0396 | 4 | 3.3121 | 0.0462 | 3.3121 | 1.8199 |
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+ | No log | 0.0594 | 6 | 1.6638 | -0.0003 | 1.6638 | 1.2899 |
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+ | No log | 0.0792 | 8 | 0.9917 | 0.1036 | 0.9917 | 0.9958 |
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+ | No log | 0.0990 | 10 | 0.7569 | 0.0900 | 0.7569 | 0.8700 |
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+ | No log | 0.1188 | 12 | 0.8518 | 0.0291 | 0.8518 | 0.9230 |
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+ | No log | 0.1386 | 14 | 0.9221 | -0.0131 | 0.9221 | 0.9603 |
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+ | No log | 0.1584 | 16 | 0.9190 | -0.0155 | 0.9190 | 0.9587 |
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+ | No log | 0.1782 | 18 | 0.8911 | -0.0755 | 0.8911 | 0.9440 |
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+ | No log | 0.1980 | 20 | 0.8198 | 0.0249 | 0.8198 | 0.9054 |
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+ | No log | 0.2178 | 22 | 0.7043 | 0.2336 | 0.7043 | 0.8392 |
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+ | No log | 0.2376 | 24 | 0.5999 | 0.3270 | 0.5999 | 0.7745 |
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+ | No log | 0.2574 | 26 | 0.6430 | 0.4107 | 0.6430 | 0.8019 |
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+ | No log | 0.2772 | 28 | 0.6274 | 0.3699 | 0.6274 | 0.7921 |
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+ | No log | 0.2970 | 30 | 0.6022 | 0.3127 | 0.6022 | 0.7760 |
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+ | No log | 0.3168 | 32 | 0.6329 | 0.2912 | 0.6329 | 0.7956 |
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+ | No log | 0.3366 | 34 | 0.6689 | 0.2554 | 0.6689 | 0.8179 |
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+ | No log | 0.3564 | 36 | 0.6672 | 0.4415 | 0.6672 | 0.8168 |
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+ | No log | 0.3762 | 38 | 0.6585 | 0.4561 | 0.6585 | 0.8115 |
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+ | No log | 0.3960 | 40 | 0.6783 | 0.5408 | 0.6783 | 0.8236 |
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+ | No log | 0.4158 | 42 | 0.6391 | 0.5998 | 0.6391 | 0.7995 |
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+ | No log | 0.4356 | 44 | 0.5826 | 0.5048 | 0.5826 | 0.7633 |
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+ | No log | 0.4554 | 46 | 0.5991 | 0.3990 | 0.5991 | 0.7740 |
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+ | No log | 0.4752 | 48 | 0.6826 | 0.2625 | 0.6826 | 0.8262 |
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+ | No log | 0.4950 | 50 | 0.6797 | 0.3275 | 0.6797 | 0.8245 |
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+ | No log | 0.5149 | 52 | 0.5910 | 0.4762 | 0.5910 | 0.7687 |
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+ | No log | 0.5347 | 54 | 0.4986 | 0.5375 | 0.4986 | 0.7061 |
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+ | No log | 0.5545 | 56 | 0.4903 | 0.5172 | 0.4903 | 0.7002 |
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+ | No log | 0.5743 | 58 | 0.5548 | 0.5065 | 0.5548 | 0.7448 |
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+ | No log | 0.5941 | 60 | 0.6378 | 0.4624 | 0.6378 | 0.7986 |
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+ | No log | 0.6139 | 62 | 0.6827 | 0.5108 | 0.6827 | 0.8263 |
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+ | No log | 0.6337 | 64 | 0.6637 | 0.5864 | 0.6637 | 0.8147 |
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+ | No log | 0.6535 | 66 | 0.7336 | 0.6156 | 0.7336 | 0.8565 |
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+ | No log | 0.6733 | 68 | 0.7254 | 0.5908 | 0.7254 | 0.8517 |
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+ | No log | 0.6931 | 70 | 0.6467 | 0.5684 | 0.6467 | 0.8042 |
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+ | No log | 0.7129 | 72 | 0.5111 | 0.6422 | 0.5111 | 0.7149 |
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+ | No log | 0.7327 | 74 | 0.4766 | 0.6189 | 0.4766 | 0.6904 |
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+ | No log | 0.7525 | 76 | 0.4270 | 0.5915 | 0.4270 | 0.6535 |
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+ | No log | 0.7723 | 78 | 0.4342 | 0.4992 | 0.4342 | 0.6589 |
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+ | No log | 0.7921 | 80 | 0.4572 | 0.4361 | 0.4572 | 0.6762 |
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+ | No log | 0.8119 | 82 | 0.5485 | 0.4110 | 0.5485 | 0.7406 |
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+ | No log | 0.8317 | 84 | 0.6427 | 0.2669 | 0.6427 | 0.8017 |
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+ | No log | 0.8515 | 86 | 0.5813 | 0.3211 | 0.5813 | 0.7624 |
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+ | No log | 0.8713 | 88 | 0.5300 | 0.3696 | 0.5300 | 0.7280 |
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+ | No log | 0.8911 | 90 | 0.4984 | 0.4030 | 0.4984 | 0.7060 |
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+ | No log | 0.9109 | 92 | 0.4602 | 0.4381 | 0.4602 | 0.6783 |
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+ | No log | 0.9307 | 94 | 0.4293 | 0.5140 | 0.4293 | 0.6552 |
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+ | No log | 0.9505 | 96 | 0.4625 | 0.5609 | 0.4625 | 0.6801 |
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+ | No log | 0.9703 | 98 | 0.5080 | 0.5713 | 0.5080 | 0.7128 |
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+ | No log | 0.9901 | 100 | 0.5215 | 0.5982 | 0.5215 | 0.7221 |
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+ | No log | 1.0099 | 102 | 0.5515 | 0.5895 | 0.5515 | 0.7426 |
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+ | No log | 1.0297 | 104 | 0.5372 | 0.5690 | 0.5372 | 0.7330 |
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+ | No log | 1.0495 | 106 | 0.5098 | 0.5581 | 0.5098 | 0.7140 |
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+ | No log | 1.0693 | 108 | 0.4765 | 0.6006 | 0.4765 | 0.6903 |
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+ | No log | 1.0891 | 110 | 0.5419 | 0.5427 | 0.5419 | 0.7361 |
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+ | No log | 1.1089 | 112 | 0.5417 | 0.5364 | 0.5417 | 0.7360 |
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+ | No log | 1.1287 | 114 | 0.5281 | 0.5477 | 0.5281 | 0.7267 |
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+ | No log | 1.1485 | 116 | 0.5352 | 0.5434 | 0.5352 | 0.7316 |
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+ | No log | 1.1683 | 118 | 0.4610 | 0.5633 | 0.4610 | 0.6790 |
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+ | No log | 1.1881 | 120 | 0.4257 | 0.5686 | 0.4257 | 0.6525 |
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+ | No log | 1.2079 | 122 | 0.4849 | 0.5469 | 0.4849 | 0.6964 |
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+ | No log | 1.2277 | 124 | 0.5815 | 0.5354 | 0.5815 | 0.7626 |
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+ | No log | 1.2475 | 126 | 0.5383 | 0.5602 | 0.5383 | 0.7337 |
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+ | No log | 1.2673 | 128 | 0.4626 | 0.6708 | 0.4626 | 0.6802 |
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+ | No log | 1.2871 | 130 | 0.5182 | 0.6520 | 0.5182 | 0.7198 |
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+ | No log | 1.3069 | 132 | 0.5259 | 0.6537 | 0.5259 | 0.7252 |
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+ | No log | 1.3267 | 134 | 0.7994 | 0.5207 | 0.7994 | 0.8941 |
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+ | No log | 1.3465 | 136 | 0.9838 | 0.3583 | 0.9838 | 0.9919 |
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+ | No log | 1.3663 | 138 | 0.8917 | 0.3556 | 0.8917 | 0.9443 |
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+ | No log | 1.3861 | 140 | 0.6958 | 0.3589 | 0.6958 | 0.8342 |
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+ | No log | 1.4059 | 142 | 0.5785 | 0.3673 | 0.5785 | 0.7606 |
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+ | No log | 1.4257 | 144 | 0.5319 | 0.3924 | 0.5319 | 0.7293 |
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+ | No log | 1.4455 | 146 | 0.4598 | 0.4717 | 0.4598 | 0.6781 |
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+ | No log | 1.4653 | 148 | 0.4437 | 0.5503 | 0.4437 | 0.6661 |
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+ | No log | 1.4851 | 150 | 0.4373 | 0.5778 | 0.4373 | 0.6613 |
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+ | No log | 1.5050 | 152 | 0.5175 | 0.5694 | 0.5175 | 0.7194 |
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+ | No log | 1.5248 | 154 | 0.6907 | 0.5298 | 0.6907 | 0.8311 |
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+ | No log | 1.5446 | 156 | 0.8126 | 0.4469 | 0.8126 | 0.9015 |
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+ | No log | 1.5644 | 158 | 0.7276 | 0.4594 | 0.7276 | 0.8530 |
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+ | No log | 1.5842 | 160 | 0.6637 | 0.4829 | 0.6637 | 0.8147 |
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+ | No log | 1.6040 | 162 | 0.6331 | 0.5213 | 0.6331 | 0.7957 |
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+ | No log | 1.6238 | 164 | 0.5688 | 0.5613 | 0.5688 | 0.7542 |
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+ | No log | 1.6436 | 166 | 0.5327 | 0.5889 | 0.5327 | 0.7298 |
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+ | No log | 1.6634 | 168 | 0.5711 | 0.5717 | 0.5711 | 0.7557 |
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+ | No log | 1.6832 | 170 | 0.6696 | 0.4869 | 0.6696 | 0.8183 |
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+ | No log | 1.7030 | 172 | 0.6125 | 0.5151 | 0.6125 | 0.7826 |
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+ | No log | 1.7228 | 174 | 0.4620 | 0.5595 | 0.4620 | 0.6797 |
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+ | No log | 1.7426 | 176 | 0.4127 | 0.5848 | 0.4127 | 0.6424 |
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+ | No log | 1.7624 | 178 | 0.4144 | 0.6294 | 0.4144 | 0.6437 |
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+ | No log | 1.7822 | 180 | 0.4630 | 0.5959 | 0.4630 | 0.6804 |
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+ | No log | 1.8020 | 182 | 0.5589 | 0.5531 | 0.5589 | 0.7476 |
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+ | No log | 1.8218 | 184 | 0.5760 | 0.5470 | 0.5760 | 0.7589 |
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+ | No log | 1.8416 | 186 | 0.5757 | 0.5554 | 0.5757 | 0.7587 |
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+ | No log | 1.8614 | 188 | 0.5340 | 0.6139 | 0.5340 | 0.7307 |
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+ | No log | 1.8812 | 190 | 0.4959 | 0.6266 | 0.4959 | 0.7042 |
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+ | No log | 1.9010 | 192 | 0.4857 | 0.5955 | 0.4857 | 0.6969 |
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+ | No log | 1.9208 | 194 | 0.5166 | 0.6129 | 0.5166 | 0.7188 |
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+ | No log | 1.9406 | 196 | 0.5253 | 0.5982 | 0.5253 | 0.7248 |
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+ | No log | 1.9604 | 198 | 0.5117 | 0.6336 | 0.5117 | 0.7153 |
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+ | No log | 1.9802 | 200 | 0.5096 | 0.6542 | 0.5096 | 0.7139 |
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+ | No log | 2.0 | 202 | 0.6029 | 0.6154 | 0.6029 | 0.7765 |
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+ | No log | 2.0198 | 204 | 0.6022 | 0.6162 | 0.6022 | 0.7760 |
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+ | No log | 2.0396 | 206 | 0.5900 | 0.6120 | 0.5900 | 0.7681 |
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+ | No log | 2.0594 | 208 | 0.5069 | 0.6468 | 0.5069 | 0.7120 |
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+ | No log | 2.0792 | 210 | 0.4931 | 0.6359 | 0.4931 | 0.7022 |
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+ | No log | 2.0990 | 212 | 0.5573 | 0.5886 | 0.5573 | 0.7465 |
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+ | No log | 2.1188 | 214 | 0.6994 | 0.5214 | 0.6994 | 0.8363 |
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+ | No log | 2.1386 | 216 | 0.6707 | 0.5101 | 0.6707 | 0.8190 |
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+ | No log | 2.1584 | 218 | 0.5328 | 0.5484 | 0.5328 | 0.7299 |
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+ | No log | 2.1782 | 220 | 0.4572 | 0.5784 | 0.4572 | 0.6762 |
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+ | No log | 2.1980 | 222 | 0.4924 | 0.5432 | 0.4924 | 0.7017 |
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+ | No log | 2.2178 | 224 | 0.6986 | 0.4858 | 0.6986 | 0.8358 |
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+ | No log | 2.2376 | 226 | 0.8505 | 0.4735 | 0.8505 | 0.9222 |
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+ | No log | 2.2574 | 228 | 0.7855 | 0.4896 | 0.7855 | 0.8863 |
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+ | No log | 2.2772 | 230 | 0.7117 | 0.5509 | 0.7117 | 0.8436 |
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+ | No log | 2.2970 | 232 | 0.6060 | 0.6039 | 0.6060 | 0.7785 |
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+ | No log | 2.3168 | 234 | 0.5017 | 0.6628 | 0.5017 | 0.7083 |
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+ | No log | 2.3366 | 236 | 0.4612 | 0.6801 | 0.4612 | 0.6791 |
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+ | No log | 2.3564 | 238 | 0.4147 | 0.6544 | 0.4147 | 0.6440 |
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+ | No log | 2.3762 | 240 | 0.4110 | 0.6477 | 0.4110 | 0.6411 |
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+ | No log | 2.3960 | 242 | 0.4261 | 0.5995 | 0.4261 | 0.6527 |
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+ | No log | 2.4158 | 244 | 0.4637 | 0.5663 | 0.4637 | 0.6810 |
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+ | No log | 2.4356 | 246 | 0.6081 | 0.5611 | 0.6081 | 0.7798 |
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+ | No log | 2.4554 | 248 | 0.6584 | 0.5661 | 0.6584 | 0.8114 |
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+ | No log | 2.4752 | 250 | 0.5716 | 0.6149 | 0.5716 | 0.7560 |
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+ | No log | 2.4950 | 252 | 0.4598 | 0.6266 | 0.4598 | 0.6781 |
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+ | No log | 2.5149 | 254 | 0.4262 | 0.6271 | 0.4262 | 0.6528 |
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+ | No log | 2.5347 | 256 | 0.4143 | 0.6533 | 0.4143 | 0.6436 |
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+ | No log | 2.5545 | 258 | 0.4333 | 0.6506 | 0.4333 | 0.6583 |
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+ | No log | 2.5743 | 260 | 0.4537 | 0.6602 | 0.4537 | 0.6736 |
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+ | No log | 2.5941 | 262 | 0.4570 | 0.6382 | 0.4570 | 0.6760 |
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+ | No log | 2.6139 | 264 | 0.4060 | 0.6558 | 0.4060 | 0.6372 |
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+ | No log | 2.6337 | 266 | 0.4006 | 0.6923 | 0.4006 | 0.6329 |
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+ | No log | 2.6535 | 268 | 0.4163 | 0.6881 | 0.4163 | 0.6452 |
186
+ | No log | 2.6733 | 270 | 0.4278 | 0.6364 | 0.4278 | 0.6541 |
187
+ | No log | 2.6931 | 272 | 0.4108 | 0.6486 | 0.4108 | 0.6409 |
188
+ | No log | 2.7129 | 274 | 0.4050 | 0.6712 | 0.4050 | 0.6364 |
189
+ | No log | 2.7327 | 276 | 0.4292 | 0.6576 | 0.4292 | 0.6551 |
190
+ | No log | 2.7525 | 278 | 0.5614 | 0.5904 | 0.5614 | 0.7493 |
191
+ | No log | 2.7723 | 280 | 0.7061 | 0.5506 | 0.7061 | 0.8403 |
192
+ | No log | 2.7921 | 282 | 0.6979 | 0.5927 | 0.6979 | 0.8354 |
193
+ | No log | 2.8119 | 284 | 0.5830 | 0.6391 | 0.5830 | 0.7636 |
194
+ | No log | 2.8317 | 286 | 0.5023 | 0.6222 | 0.5023 | 0.7088 |
195
+ | No log | 2.8515 | 288 | 0.5225 | 0.6175 | 0.5225 | 0.7229 |
196
+ | No log | 2.8713 | 290 | 0.4655 | 0.6312 | 0.4655 | 0.6823 |
197
+ | No log | 2.8911 | 292 | 0.4762 | 0.5916 | 0.4762 | 0.6901 |
198
+ | No log | 2.9109 | 294 | 0.6171 | 0.5565 | 0.6171 | 0.7856 |
199
+ | No log | 2.9307 | 296 | 0.6314 | 0.5761 | 0.6314 | 0.7946 |
200
+ | No log | 2.9505 | 298 | 0.5483 | 0.5619 | 0.5483 | 0.7405 |
201
+ | No log | 2.9703 | 300 | 0.5081 | 0.5973 | 0.5081 | 0.7128 |
202
+ | No log | 2.9901 | 302 | 0.4677 | 0.6211 | 0.4677 | 0.6839 |
203
+ | No log | 3.0099 | 304 | 0.4252 | 0.6211 | 0.4252 | 0.6521 |
204
+ | No log | 3.0297 | 306 | 0.4183 | 0.6173 | 0.4183 | 0.6467 |
205
+ | No log | 3.0495 | 308 | 0.4219 | 0.5921 | 0.4219 | 0.6496 |
206
+ | No log | 3.0693 | 310 | 0.4559 | 0.5563 | 0.4559 | 0.6752 |
207
+ | No log | 3.0891 | 312 | 0.5116 | 0.5569 | 0.5116 | 0.7152 |
208
+ | No log | 3.1089 | 314 | 0.5252 | 0.5005 | 0.5252 | 0.7247 |
209
+ | No log | 3.1287 | 316 | 0.5468 | 0.5140 | 0.5468 | 0.7394 |
210
+ | No log | 3.1485 | 318 | 0.5175 | 0.5957 | 0.5175 | 0.7194 |
211
+ | No log | 3.1683 | 320 | 0.4538 | 0.6453 | 0.4538 | 0.6736 |
212
+ | No log | 3.1881 | 322 | 0.4331 | 0.6630 | 0.4331 | 0.6581 |
213
+ | No log | 3.2079 | 324 | 0.4694 | 0.6687 | 0.4694 | 0.6851 |
214
+ | No log | 3.2277 | 326 | 0.4827 | 0.6692 | 0.4827 | 0.6948 |
215
+ | No log | 3.2475 | 328 | 0.5059 | 0.6446 | 0.5059 | 0.7112 |
216
+ | No log | 3.2673 | 330 | 0.4903 | 0.6205 | 0.4903 | 0.7002 |
217
+ | No log | 3.2871 | 332 | 0.4567 | 0.5840 | 0.4567 | 0.6758 |
218
+ | No log | 3.3069 | 334 | 0.4878 | 0.6052 | 0.4878 | 0.6984 |
219
+ | No log | 3.3267 | 336 | 0.5594 | 0.5944 | 0.5594 | 0.7479 |
220
+ | No log | 3.3465 | 338 | 0.5464 | 0.6020 | 0.5464 | 0.7392 |
221
+ | No log | 3.3663 | 340 | 0.4364 | 0.6563 | 0.4364 | 0.6606 |
222
+ | No log | 3.3861 | 342 | 0.4167 | 0.6707 | 0.4167 | 0.6455 |
223
+ | No log | 3.4059 | 344 | 0.4716 | 0.6570 | 0.4716 | 0.6867 |
224
+ | No log | 3.4257 | 346 | 0.4945 | 0.6443 | 0.4945 | 0.7032 |
225
+ | No log | 3.4455 | 348 | 0.5325 | 0.6175 | 0.5325 | 0.7297 |
226
+ | No log | 3.4653 | 350 | 0.4789 | 0.6513 | 0.4789 | 0.6921 |
227
+ | No log | 3.4851 | 352 | 0.4735 | 0.6688 | 0.4735 | 0.6881 |
228
+ | No log | 3.5050 | 354 | 0.5005 | 0.6579 | 0.5005 | 0.7074 |
229
+ | No log | 3.5248 | 356 | 0.6506 | 0.5541 | 0.6506 | 0.8066 |
230
+ | No log | 3.5446 | 358 | 0.6375 | 0.5610 | 0.6375 | 0.7984 |
231
+ | No log | 3.5644 | 360 | 0.5978 | 0.5625 | 0.5978 | 0.7732 |
232
+ | No log | 3.5842 | 362 | 0.5105 | 0.5267 | 0.5105 | 0.7145 |
233
+ | No log | 3.6040 | 364 | 0.5826 | 0.5380 | 0.5826 | 0.7633 |
234
+ | No log | 3.6238 | 366 | 0.8995 | 0.4660 | 0.8995 | 0.9484 |
235
+ | No log | 3.6436 | 368 | 0.9632 | 0.4797 | 0.9632 | 0.9814 |
236
+ | No log | 3.6634 | 370 | 0.7670 | 0.5897 | 0.7670 | 0.8758 |
237
+ | No log | 3.6832 | 372 | 0.5770 | 0.6386 | 0.5770 | 0.7596 |
238
+ | No log | 3.7030 | 374 | 0.5678 | 0.6367 | 0.5678 | 0.7535 |
239
+ | No log | 3.7228 | 376 | 0.6025 | 0.6043 | 0.6025 | 0.7762 |
240
+ | No log | 3.7426 | 378 | 0.5414 | 0.5759 | 0.5414 | 0.7358 |
241
+ | No log | 3.7624 | 380 | 0.5327 | 0.5618 | 0.5327 | 0.7299 |
242
+ | No log | 3.7822 | 382 | 0.5559 | 0.5580 | 0.5559 | 0.7456 |
243
+ | No log | 3.8020 | 384 | 0.7227 | 0.5414 | 0.7227 | 0.8501 |
244
+ | No log | 3.8218 | 386 | 1.0514 | 0.3974 | 1.0514 | 1.0254 |
245
+ | No log | 3.8416 | 388 | 1.1877 | 0.3849 | 1.1877 | 1.0898 |
246
+ | No log | 3.8614 | 390 | 0.9528 | 0.4224 | 0.9528 | 0.9761 |
247
+ | No log | 3.8812 | 392 | 0.5446 | 0.5887 | 0.5446 | 0.7380 |
248
+ | No log | 3.9010 | 394 | 0.3866 | 0.6319 | 0.3866 | 0.6218 |
249
+ | No log | 3.9208 | 396 | 0.3848 | 0.6551 | 0.3848 | 0.6203 |
250
+ | No log | 3.9406 | 398 | 0.4565 | 0.6589 | 0.4565 | 0.6757 |
251
+ | No log | 3.9604 | 400 | 0.7295 | 0.5246 | 0.7295 | 0.8541 |
252
+ | No log | 3.9802 | 402 | 0.8713 | 0.4619 | 0.8713 | 0.9334 |
253
+ | No log | 4.0 | 404 | 0.8333 | 0.4868 | 0.8333 | 0.9129 |
254
+ | No log | 4.0198 | 406 | 0.6810 | 0.5395 | 0.6810 | 0.8252 |
255
+ | No log | 4.0396 | 408 | 0.5101 | 0.6500 | 0.5101 | 0.7142 |
256
+ | No log | 4.0594 | 410 | 0.4613 | 0.6261 | 0.4613 | 0.6792 |
257
+ | No log | 4.0792 | 412 | 0.4846 | 0.6023 | 0.4846 | 0.6961 |
258
+ | No log | 4.0990 | 414 | 0.5878 | 0.5499 | 0.5878 | 0.7667 |
259
+ | No log | 4.1188 | 416 | 0.8258 | 0.4651 | 0.8258 | 0.9087 |
260
+ | No log | 4.1386 | 418 | 0.9974 | 0.3743 | 0.9974 | 0.9987 |
261
+ | No log | 4.1584 | 420 | 1.0479 | 0.3502 | 1.0479 | 1.0237 |
262
+ | No log | 4.1782 | 422 | 0.8910 | 0.4371 | 0.8910 | 0.9439 |
263
+ | No log | 4.1980 | 424 | 0.6018 | 0.5506 | 0.6018 | 0.7758 |
264
+ | No log | 4.2178 | 426 | 0.4163 | 0.6795 | 0.4163 | 0.6452 |
265
+ | No log | 4.2376 | 428 | 0.4026 | 0.6673 | 0.4026 | 0.6345 |
266
+ | No log | 4.2574 | 430 | 0.4371 | 0.6932 | 0.4371 | 0.6611 |
267
+ | No log | 4.2772 | 432 | 0.4463 | 0.6818 | 0.4463 | 0.6680 |
268
+ | No log | 4.2970 | 434 | 0.4684 | 0.6637 | 0.4684 | 0.6844 |
269
+ | No log | 4.3168 | 436 | 0.5667 | 0.6242 | 0.5667 | 0.7528 |
270
+ | No log | 4.3366 | 438 | 0.6217 | 0.5713 | 0.6217 | 0.7885 |
271
+ | No log | 4.3564 | 440 | 0.5756 | 0.5741 | 0.5756 | 0.7587 |
272
+ | No log | 4.3762 | 442 | 0.6037 | 0.5432 | 0.6037 | 0.7770 |
273
+ | No log | 4.3960 | 444 | 0.5338 | 0.5550 | 0.5338 | 0.7306 |
274
+ | No log | 4.4158 | 446 | 0.5505 | 0.5530 | 0.5505 | 0.7420 |
275
+ | No log | 4.4356 | 448 | 0.5445 | 0.5789 | 0.5445 | 0.7379 |
276
+ | No log | 4.4554 | 450 | 0.5348 | 0.5877 | 0.5348 | 0.7313 |
277
+ | No log | 4.4752 | 452 | 0.5407 | 0.5802 | 0.5407 | 0.7353 |
278
+ | No log | 4.4950 | 454 | 0.4723 | 0.6132 | 0.4723 | 0.6873 |
279
+ | No log | 4.5149 | 456 | 0.4481 | 0.6307 | 0.4481 | 0.6694 |
280
+ | No log | 4.5347 | 458 | 0.4906 | 0.6062 | 0.4906 | 0.7004 |
281
+ | No log | 4.5545 | 460 | 0.6137 | 0.5836 | 0.6137 | 0.7834 |
282
+ | No log | 4.5743 | 462 | 0.6904 | 0.5827 | 0.6904 | 0.8309 |
283
+ | No log | 4.5941 | 464 | 0.7086 | 0.5953 | 0.7086 | 0.8418 |
284
+ | No log | 4.6139 | 466 | 0.6434 | 0.6149 | 0.6434 | 0.8021 |
285
+ | No log | 4.6337 | 468 | 0.5522 | 0.6449 | 0.5522 | 0.7431 |
286
+ | No log | 4.6535 | 470 | 0.5318 | 0.6412 | 0.5318 | 0.7293 |
287
+ | No log | 4.6733 | 472 | 0.4532 | 0.6736 | 0.4532 | 0.6732 |
288
+ | No log | 4.6931 | 474 | 0.5278 | 0.6077 | 0.5278 | 0.7265 |
289
+ | No log | 4.7129 | 476 | 0.6232 | 0.5483 | 0.6232 | 0.7894 |
290
+ | No log | 4.7327 | 478 | 0.4802 | 0.5804 | 0.4802 | 0.6930 |
291
+ | No log | 4.7525 | 480 | 0.4747 | 0.5930 | 0.4747 | 0.6890 |
292
+ | No log | 4.7723 | 482 | 0.6283 | 0.5140 | 0.6283 | 0.7927 |
293
+ | No log | 4.7921 | 484 | 0.6484 | 0.5206 | 0.6484 | 0.8052 |
294
+ | No log | 4.8119 | 486 | 0.5671 | 0.5538 | 0.5671 | 0.7530 |
295
+ | No log | 4.8317 | 488 | 0.4935 | 0.6150 | 0.4935 | 0.7025 |
296
+ | No log | 4.8515 | 490 | 0.5876 | 0.5852 | 0.5876 | 0.7666 |
297
+ | No log | 4.8713 | 492 | 0.7904 | 0.5321 | 0.7904 | 0.8890 |
298
+ | No log | 4.8911 | 494 | 0.7317 | 0.5854 | 0.7317 | 0.8554 |
299
+ | No log | 4.9109 | 496 | 0.5367 | 0.6700 | 0.5367 | 0.7326 |
300
+ | No log | 4.9307 | 498 | 0.5047 | 0.6684 | 0.5047 | 0.7104 |
301
+ | 0.5174 | 4.9505 | 500 | 0.4917 | 0.6803 | 0.4917 | 0.7012 |
302
+ | 0.5174 | 4.9703 | 502 | 0.6110 | 0.5891 | 0.6110 | 0.7816 |
303
+ | 0.5174 | 4.9901 | 504 | 0.8514 | 0.5163 | 0.8514 | 0.9227 |
304
+ | 0.5174 | 5.0099 | 506 | 0.8258 | 0.5016 | 0.8258 | 0.9087 |
305
+ | 0.5174 | 5.0297 | 508 | 0.5840 | 0.5680 | 0.5840 | 0.7642 |
306
+ | 0.5174 | 5.0495 | 510 | 0.4963 | 0.5684 | 0.4963 | 0.7045 |
307
+
308
+
309
+ ### Framework versions
310
+
311
+ - Transformers 4.44.2
312
+ - Pytorch 2.4.0+cu118
313
+ - Datasets 2.21.0
314
+ - Tokenizers 0.19.1
config.json ADDED
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+ "problem_type": "regression",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 64000
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+ }
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