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Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask5_development

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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_style
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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_style
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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: 0.5705
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+ - Qwk: 0.5583
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+ - Mse: 0.5705
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+ - Rmse: 0.7553
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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 | 4.2244 | -0.0026 | 4.2244 | 2.0553 |
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+ | No log | 0.0396 | 4 | 2.9368 | 0.0459 | 2.9368 | 1.7137 |
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+ | No log | 0.0594 | 6 | 1.4729 | 0.0059 | 1.4729 | 1.2136 |
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+ | No log | 0.0792 | 8 | 0.9333 | 0.0915 | 0.9333 | 0.9661 |
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+ | No log | 0.0990 | 10 | 0.7506 | 0.1245 | 0.7506 | 0.8664 |
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+ | No log | 0.1188 | 12 | 0.8095 | 0.0565 | 0.8095 | 0.8997 |
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+ | No log | 0.1386 | 14 | 0.8107 | 0.1593 | 0.8107 | 0.9004 |
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+ | No log | 0.1584 | 16 | 0.6680 | 0.2785 | 0.6680 | 0.8173 |
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+ | No log | 0.1782 | 18 | 0.6275 | 0.4380 | 0.6275 | 0.7921 |
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+ | No log | 0.1980 | 20 | 0.5977 | 0.4277 | 0.5977 | 0.7731 |
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+ | No log | 0.2178 | 22 | 0.6109 | 0.2878 | 0.6109 | 0.7816 |
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+ | No log | 0.2376 | 24 | 0.6240 | 0.2878 | 0.6240 | 0.7899 |
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+ | No log | 0.2574 | 26 | 0.6054 | 0.3293 | 0.6054 | 0.7781 |
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+ | No log | 0.2772 | 28 | 0.6090 | 0.3054 | 0.6090 | 0.7804 |
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+ | No log | 0.2970 | 30 | 0.5789 | 0.3121 | 0.5789 | 0.7609 |
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+ | No log | 0.3168 | 32 | 0.5348 | 0.3778 | 0.5348 | 0.7313 |
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+ | No log | 0.3366 | 34 | 0.5215 | 0.4081 | 0.5215 | 0.7221 |
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+ | No log | 0.3564 | 36 | 0.5402 | 0.5202 | 0.5402 | 0.7350 |
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+ | No log | 0.3762 | 38 | 0.5040 | 0.5071 | 0.5040 | 0.7099 |
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+ | No log | 0.3960 | 40 | 0.5986 | 0.4767 | 0.5986 | 0.7737 |
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+ | No log | 0.4158 | 42 | 0.6328 | 0.5036 | 0.6328 | 0.7955 |
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+ | No log | 0.4356 | 44 | 0.5686 | 0.5416 | 0.5686 | 0.7541 |
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+ | No log | 0.4554 | 46 | 0.5498 | 0.5556 | 0.5498 | 0.7415 |
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+ | No log | 0.4752 | 48 | 0.5875 | 0.5042 | 0.5875 | 0.7665 |
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+ | No log | 0.4950 | 50 | 0.5480 | 0.5329 | 0.5480 | 0.7403 |
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+ | No log | 0.5149 | 52 | 0.4840 | 0.5353 | 0.4840 | 0.6957 |
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+ | No log | 0.5347 | 54 | 0.4987 | 0.4858 | 0.4987 | 0.7062 |
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+ | No log | 0.5545 | 56 | 0.6363 | 0.3960 | 0.6363 | 0.7977 |
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+ | No log | 0.5743 | 58 | 0.7962 | 0.2936 | 0.7962 | 0.8923 |
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+ | No log | 0.5941 | 60 | 0.7815 | 0.3127 | 0.7815 | 0.8840 |
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+ | No log | 0.6139 | 62 | 0.6122 | 0.4381 | 0.6122 | 0.7824 |
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+ | No log | 0.6337 | 64 | 0.5006 | 0.5804 | 0.5006 | 0.7075 |
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+ | No log | 0.6535 | 66 | 0.5267 | 0.5835 | 0.5267 | 0.7257 |
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+ | No log | 0.6733 | 68 | 0.5583 | 0.5872 | 0.5583 | 0.7472 |
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+ | No log | 0.6931 | 70 | 0.5859 | 0.5920 | 0.5859 | 0.7654 |
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+ | No log | 0.7129 | 72 | 0.5630 | 0.5823 | 0.5630 | 0.7504 |
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+ | No log | 0.7327 | 74 | 0.5126 | 0.5583 | 0.5126 | 0.7160 |
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+ | No log | 0.7525 | 76 | 0.4844 | 0.5410 | 0.4844 | 0.6960 |
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+ | No log | 0.7723 | 78 | 0.5018 | 0.4492 | 0.5018 | 0.7084 |
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+ | No log | 0.7921 | 80 | 0.4826 | 0.4389 | 0.4826 | 0.6947 |
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+ | No log | 0.8119 | 82 | 0.4657 | 0.4876 | 0.4657 | 0.6824 |
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+ | No log | 0.8317 | 84 | 0.4753 | 0.4577 | 0.4753 | 0.6894 |
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+ | No log | 0.8515 | 86 | 0.5439 | 0.4682 | 0.5439 | 0.7375 |
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+ | No log | 0.8713 | 88 | 0.5935 | 0.4771 | 0.5935 | 0.7704 |
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+ | No log | 0.8911 | 90 | 0.6344 | 0.4879 | 0.6344 | 0.7965 |
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+ | No log | 0.9109 | 92 | 0.5282 | 0.5254 | 0.5282 | 0.7268 |
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+ | No log | 0.9307 | 94 | 0.4862 | 0.5611 | 0.4862 | 0.6973 |
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+ | No log | 0.9505 | 96 | 0.5130 | 0.5587 | 0.5130 | 0.7162 |
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+ | No log | 0.9703 | 98 | 0.5009 | 0.5721 | 0.5009 | 0.7077 |
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+ | No log | 0.9901 | 100 | 0.5292 | 0.5001 | 0.5292 | 0.7275 |
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+ | No log | 1.0099 | 102 | 0.5799 | 0.4425 | 0.5799 | 0.7615 |
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+ | No log | 1.0297 | 104 | 0.5400 | 0.3915 | 0.5400 | 0.7348 |
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+ | No log | 1.0495 | 106 | 0.5131 | 0.3848 | 0.5131 | 0.7163 |
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+ | No log | 1.0693 | 108 | 0.4775 | 0.4408 | 0.4775 | 0.6910 |
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+ | No log | 1.0891 | 110 | 0.4805 | 0.5073 | 0.4805 | 0.6932 |
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+ | No log | 1.1089 | 112 | 0.5244 | 0.5543 | 0.5244 | 0.7241 |
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+ | No log | 1.1287 | 114 | 0.4984 | 0.6325 | 0.4984 | 0.7060 |
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+ | No log | 1.1485 | 116 | 0.4746 | 0.6643 | 0.4746 | 0.6889 |
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+ | No log | 1.1683 | 118 | 0.4739 | 0.6568 | 0.4739 | 0.6884 |
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+ | No log | 1.1881 | 120 | 0.4621 | 0.6654 | 0.4621 | 0.6798 |
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+ | No log | 1.2079 | 122 | 0.5582 | 0.5043 | 0.5582 | 0.7471 |
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+ | No log | 1.2277 | 124 | 0.5868 | 0.4742 | 0.5868 | 0.7660 |
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+ | No log | 1.2475 | 126 | 0.4825 | 0.6040 | 0.4825 | 0.6947 |
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+ | No log | 1.2673 | 128 | 0.4912 | 0.5704 | 0.4912 | 0.7009 |
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+ | No log | 1.2871 | 130 | 0.4693 | 0.5978 | 0.4693 | 0.6851 |
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+ | No log | 1.3069 | 132 | 0.4417 | 0.6209 | 0.4417 | 0.6646 |
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+ | No log | 1.3267 | 134 | 0.5091 | 0.6026 | 0.5091 | 0.7135 |
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+ | No log | 1.3465 | 136 | 0.5345 | 0.5780 | 0.5345 | 0.7311 |
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+ | No log | 1.3663 | 138 | 0.5366 | 0.5788 | 0.5366 | 0.7325 |
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+ | No log | 1.3861 | 140 | 0.4922 | 0.5521 | 0.4922 | 0.7016 |
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+ | No log | 1.4059 | 142 | 0.4786 | 0.5066 | 0.4786 | 0.6918 |
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+ | No log | 1.4257 | 144 | 0.4795 | 0.5264 | 0.4795 | 0.6925 |
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+ | No log | 1.4455 | 146 | 0.4910 | 0.5283 | 0.4910 | 0.7007 |
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+ | No log | 1.4653 | 148 | 0.4802 | 0.4932 | 0.4802 | 0.6929 |
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+ | No log | 1.4851 | 150 | 0.5041 | 0.4905 | 0.5041 | 0.7100 |
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+ | No log | 1.5050 | 152 | 0.5059 | 0.4792 | 0.5059 | 0.7113 |
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+ | No log | 1.5248 | 154 | 0.5087 | 0.4735 | 0.5087 | 0.7132 |
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+ | No log | 1.5446 | 156 | 0.5191 | 0.4691 | 0.5191 | 0.7205 |
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+ | No log | 1.5644 | 158 | 0.5784 | 0.3956 | 0.5784 | 0.7605 |
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+ | No log | 1.5842 | 160 | 0.6929 | 0.3844 | 0.6929 | 0.8324 |
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+ | No log | 1.6040 | 162 | 0.7163 | 0.3803 | 0.7163 | 0.8463 |
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+ | No log | 1.6238 | 164 | 0.6149 | 0.4583 | 0.6149 | 0.7842 |
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+ | No log | 1.6436 | 166 | 0.5160 | 0.4680 | 0.5160 | 0.7183 |
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+ | No log | 1.6634 | 168 | 0.5861 | 0.4382 | 0.5861 | 0.7655 |
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+ | No log | 1.6832 | 170 | 0.6335 | 0.4023 | 0.6335 | 0.7959 |
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+ | No log | 1.7030 | 172 | 0.5613 | 0.4589 | 0.5613 | 0.7492 |
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+ | No log | 1.7228 | 174 | 0.5384 | 0.3854 | 0.5384 | 0.7337 |
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+ | No log | 1.7426 | 176 | 0.6251 | 0.3381 | 0.6251 | 0.7906 |
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+ | No log | 1.7624 | 178 | 0.6171 | 0.5126 | 0.6171 | 0.7856 |
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+ | No log | 1.7822 | 180 | 0.5821 | 0.5240 | 0.5821 | 0.7630 |
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+ | No log | 1.8020 | 182 | 0.6732 | 0.4901 | 0.6732 | 0.8205 |
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+ | No log | 1.8218 | 184 | 0.6049 | 0.5314 | 0.6049 | 0.7778 |
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+ | No log | 1.8416 | 186 | 0.6856 | 0.5023 | 0.6856 | 0.8280 |
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+ | No log | 1.8614 | 188 | 0.8999 | 0.3778 | 0.8999 | 0.9486 |
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+ | No log | 1.8812 | 190 | 0.9941 | 0.3219 | 0.9941 | 0.9971 |
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+ | No log | 1.9010 | 192 | 0.6968 | 0.3741 | 0.6968 | 0.8347 |
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+ | No log | 1.9208 | 194 | 0.6158 | 0.4469 | 0.6158 | 0.7847 |
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+ | No log | 1.9406 | 196 | 0.5927 | 0.4743 | 0.5927 | 0.7699 |
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+ | No log | 1.9604 | 198 | 0.6464 | 0.4450 | 0.6464 | 0.8040 |
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+ | No log | 1.9802 | 200 | 0.6228 | 0.5225 | 0.6228 | 0.7892 |
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+ | No log | 2.0 | 202 | 0.8286 | 0.3868 | 0.8286 | 0.9103 |
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+ | No log | 2.0198 | 204 | 0.9116 | 0.3823 | 0.9116 | 0.9548 |
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+ | No log | 2.0396 | 206 | 0.7794 | 0.4052 | 0.7794 | 0.8829 |
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+ | No log | 2.0594 | 208 | 0.6396 | 0.4583 | 0.6396 | 0.7997 |
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+ | No log | 2.0792 | 210 | 0.5545 | 0.4652 | 0.5545 | 0.7446 |
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+ | No log | 2.0990 | 212 | 0.5259 | 0.4448 | 0.5259 | 0.7252 |
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+ | No log | 2.1188 | 214 | 0.5111 | 0.4614 | 0.5111 | 0.7149 |
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+ | No log | 2.1386 | 216 | 0.5247 | 0.5058 | 0.5247 | 0.7244 |
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+ | No log | 2.1584 | 218 | 0.5363 | 0.5172 | 0.5363 | 0.7323 |
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+ | No log | 2.1782 | 220 | 0.4865 | 0.6010 | 0.4865 | 0.6975 |
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+ | No log | 2.1980 | 222 | 0.4856 | 0.6324 | 0.4856 | 0.6968 |
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+ | No log | 2.2178 | 224 | 0.5049 | 0.6151 | 0.5049 | 0.7105 |
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+ | No log | 2.2376 | 226 | 0.5938 | 0.5132 | 0.5938 | 0.7706 |
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+ | No log | 2.2574 | 228 | 0.5976 | 0.5038 | 0.5976 | 0.7730 |
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+ | No log | 2.2772 | 230 | 0.5546 | 0.5312 | 0.5546 | 0.7447 |
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+ | No log | 2.2970 | 232 | 0.5116 | 0.5490 | 0.5116 | 0.7152 |
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+ | No log | 2.3168 | 234 | 0.5047 | 0.5554 | 0.5047 | 0.7104 |
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+ | No log | 2.3366 | 236 | 0.5361 | 0.5485 | 0.5361 | 0.7322 |
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+ | No log | 2.3564 | 238 | 0.5266 | 0.5847 | 0.5266 | 0.7257 |
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+ | No log | 2.3762 | 240 | 0.4938 | 0.6217 | 0.4938 | 0.7027 |
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+ | No log | 2.3960 | 242 | 0.4678 | 0.6413 | 0.4678 | 0.6840 |
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+ | No log | 2.4158 | 244 | 0.5058 | 0.6257 | 0.5058 | 0.7112 |
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+ | No log | 2.4356 | 246 | 0.5023 | 0.5828 | 0.5023 | 0.7087 |
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+ | No log | 2.4554 | 248 | 0.4760 | 0.5557 | 0.4760 | 0.6900 |
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+ | No log | 2.4752 | 250 | 0.4806 | 0.5581 | 0.4806 | 0.6933 |
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+ | No log | 2.4950 | 252 | 0.4520 | 0.6126 | 0.4520 | 0.6723 |
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+ | No log | 2.5149 | 254 | 0.4557 | 0.6299 | 0.4557 | 0.6751 |
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+ | No log | 2.5347 | 256 | 0.4683 | 0.6370 | 0.4683 | 0.6843 |
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+ | No log | 2.5545 | 258 | 0.4980 | 0.6231 | 0.4980 | 0.7057 |
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+ | No log | 2.5743 | 260 | 0.5635 | 0.5634 | 0.5635 | 0.7506 |
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+ | No log | 2.5941 | 262 | 0.5636 | 0.5343 | 0.5636 | 0.7508 |
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+ | No log | 2.6139 | 264 | 0.4922 | 0.6077 | 0.4922 | 0.7016 |
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+ | No log | 2.6337 | 266 | 0.4837 | 0.6435 | 0.4837 | 0.6955 |
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+ | No log | 2.6535 | 268 | 0.4789 | 0.6600 | 0.4789 | 0.6920 |
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+ | No log | 2.6733 | 270 | 0.6097 | 0.5274 | 0.6097 | 0.7809 |
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+ | No log | 2.6931 | 272 | 0.6209 | 0.5392 | 0.6209 | 0.7880 |
188
+ | No log | 2.7129 | 274 | 0.5749 | 0.5761 | 0.5749 | 0.7582 |
189
+ | No log | 2.7327 | 276 | 0.4992 | 0.6308 | 0.4992 | 0.7066 |
190
+ | No log | 2.7525 | 278 | 0.5315 | 0.6130 | 0.5315 | 0.7290 |
191
+ | No log | 2.7723 | 280 | 0.5640 | 0.5739 | 0.5640 | 0.7510 |
192
+ | No log | 2.7921 | 282 | 0.5246 | 0.5947 | 0.5246 | 0.7243 |
193
+ | No log | 2.8119 | 284 | 0.5049 | 0.5805 | 0.5049 | 0.7106 |
194
+ | No log | 2.8317 | 286 | 0.4752 | 0.5799 | 0.4752 | 0.6894 |
195
+ | No log | 2.8515 | 288 | 0.4647 | 0.5786 | 0.4647 | 0.6817 |
196
+ | No log | 2.8713 | 290 | 0.5799 | 0.5335 | 0.5799 | 0.7615 |
197
+ | No log | 2.8911 | 292 | 0.8815 | 0.3798 | 0.8815 | 0.9389 |
198
+ | No log | 2.9109 | 294 | 1.0348 | 0.3279 | 1.0348 | 1.0173 |
199
+ | No log | 2.9307 | 296 | 0.9051 | 0.4074 | 0.9051 | 0.9513 |
200
+ | No log | 2.9505 | 298 | 0.6188 | 0.5424 | 0.6188 | 0.7866 |
201
+ | No log | 2.9703 | 300 | 0.4537 | 0.6378 | 0.4537 | 0.6736 |
202
+ | No log | 2.9901 | 302 | 0.4639 | 0.6367 | 0.4639 | 0.6811 |
203
+ | No log | 3.0099 | 304 | 0.4401 | 0.6350 | 0.4401 | 0.6634 |
204
+ | No log | 3.0297 | 306 | 0.4437 | 0.6157 | 0.4437 | 0.6661 |
205
+ | No log | 3.0495 | 308 | 0.5255 | 0.5816 | 0.5255 | 0.7249 |
206
+ | No log | 3.0693 | 310 | 0.5476 | 0.5529 | 0.5476 | 0.7400 |
207
+ | No log | 3.0891 | 312 | 0.4888 | 0.5911 | 0.4888 | 0.6991 |
208
+ | No log | 3.1089 | 314 | 0.4276 | 0.5676 | 0.4276 | 0.6539 |
209
+ | No log | 3.1287 | 316 | 0.4254 | 0.5537 | 0.4254 | 0.6522 |
210
+ | No log | 3.1485 | 318 | 0.4480 | 0.5905 | 0.4480 | 0.6693 |
211
+ | No log | 3.1683 | 320 | 0.4203 | 0.5676 | 0.4203 | 0.6483 |
212
+ | No log | 3.1881 | 322 | 0.4765 | 0.5951 | 0.4765 | 0.6903 |
213
+ | No log | 3.2079 | 324 | 0.5687 | 0.5883 | 0.5687 | 0.7542 |
214
+ | No log | 3.2277 | 326 | 0.5646 | 0.5941 | 0.5646 | 0.7514 |
215
+ | No log | 3.2475 | 328 | 0.4980 | 0.6197 | 0.4980 | 0.7057 |
216
+ | No log | 3.2673 | 330 | 0.4097 | 0.6162 | 0.4097 | 0.6400 |
217
+ | No log | 3.2871 | 332 | 0.3896 | 0.6591 | 0.3896 | 0.6242 |
218
+ | No log | 3.3069 | 334 | 0.3990 | 0.6572 | 0.3990 | 0.6317 |
219
+ | No log | 3.3267 | 336 | 0.4585 | 0.6602 | 0.4585 | 0.6771 |
220
+ | No log | 3.3465 | 338 | 0.5288 | 0.6287 | 0.5288 | 0.7272 |
221
+ | No log | 3.3663 | 340 | 0.5540 | 0.5843 | 0.5540 | 0.7443 |
222
+ | No log | 3.3861 | 342 | 0.5735 | 0.5736 | 0.5735 | 0.7573 |
223
+ | No log | 3.4059 | 344 | 0.5225 | 0.5768 | 0.5225 | 0.7229 |
224
+ | No log | 3.4257 | 346 | 0.4938 | 0.5908 | 0.4938 | 0.7027 |
225
+ | No log | 3.4455 | 348 | 0.5935 | 0.5408 | 0.5935 | 0.7704 |
226
+ | No log | 3.4653 | 350 | 0.6452 | 0.4566 | 0.6452 | 0.8033 |
227
+ | No log | 3.4851 | 352 | 0.6249 | 0.4583 | 0.6249 | 0.7905 |
228
+ | No log | 3.5050 | 354 | 0.5794 | 0.4997 | 0.5794 | 0.7612 |
229
+ | No log | 3.5248 | 356 | 0.5035 | 0.5768 | 0.5035 | 0.7096 |
230
+ | No log | 3.5446 | 358 | 0.4768 | 0.6504 | 0.4768 | 0.6905 |
231
+ | No log | 3.5644 | 360 | 0.5514 | 0.6272 | 0.5514 | 0.7425 |
232
+ | No log | 3.5842 | 362 | 0.5728 | 0.6195 | 0.5728 | 0.7568 |
233
+ | No log | 3.6040 | 364 | 0.5310 | 0.6335 | 0.5310 | 0.7287 |
234
+ | No log | 3.6238 | 366 | 0.5185 | 0.6193 | 0.5185 | 0.7200 |
235
+ | No log | 3.6436 | 368 | 0.5522 | 0.6178 | 0.5522 | 0.7431 |
236
+ | No log | 3.6634 | 370 | 0.6056 | 0.5805 | 0.6056 | 0.7782 |
237
+ | No log | 3.6832 | 372 | 0.6224 | 0.5587 | 0.6224 | 0.7889 |
238
+ | No log | 3.7030 | 374 | 0.5488 | 0.5821 | 0.5488 | 0.7408 |
239
+ | No log | 3.7228 | 376 | 0.5148 | 0.5873 | 0.5148 | 0.7175 |
240
+ | No log | 3.7426 | 378 | 0.5430 | 0.5878 | 0.5430 | 0.7369 |
241
+ | No log | 3.7624 | 380 | 0.5806 | 0.5780 | 0.5806 | 0.7620 |
242
+ | No log | 3.7822 | 382 | 0.6253 | 0.4880 | 0.6253 | 0.7908 |
243
+ | No log | 3.8020 | 384 | 0.7179 | 0.4708 | 0.7179 | 0.8473 |
244
+ | No log | 3.8218 | 386 | 0.7220 | 0.4571 | 0.7220 | 0.8497 |
245
+ | No log | 3.8416 | 388 | 0.6558 | 0.5352 | 0.6558 | 0.8098 |
246
+ | No log | 3.8614 | 390 | 0.5226 | 0.5996 | 0.5226 | 0.7229 |
247
+ | No log | 3.8812 | 392 | 0.4771 | 0.6257 | 0.4771 | 0.6907 |
248
+ | No log | 3.9010 | 394 | 0.4664 | 0.6253 | 0.4664 | 0.6830 |
249
+ | No log | 3.9208 | 396 | 0.4882 | 0.6287 | 0.4882 | 0.6987 |
250
+ | No log | 3.9406 | 398 | 0.5571 | 0.6200 | 0.5571 | 0.7464 |
251
+ | No log | 3.9604 | 400 | 0.6986 | 0.5493 | 0.6986 | 0.8358 |
252
+ | No log | 3.9802 | 402 | 0.7403 | 0.5415 | 0.7403 | 0.8604 |
253
+ | No log | 4.0 | 404 | 0.7231 | 0.5818 | 0.7231 | 0.8504 |
254
+ | No log | 4.0198 | 406 | 0.6436 | 0.5975 | 0.6436 | 0.8022 |
255
+ | No log | 4.0396 | 408 | 0.5594 | 0.5989 | 0.5594 | 0.7479 |
256
+ | No log | 4.0594 | 410 | 0.5251 | 0.5935 | 0.5251 | 0.7247 |
257
+ | No log | 4.0792 | 412 | 0.4995 | 0.5892 | 0.4995 | 0.7068 |
258
+ | No log | 4.0990 | 414 | 0.6776 | 0.5147 | 0.6776 | 0.8231 |
259
+ | No log | 4.1188 | 416 | 0.8703 | 0.3981 | 0.8703 | 0.9329 |
260
+ | No log | 4.1386 | 418 | 0.8965 | 0.3903 | 0.8965 | 0.9468 |
261
+ | No log | 4.1584 | 420 | 0.7560 | 0.4225 | 0.7560 | 0.8695 |
262
+ | No log | 4.1782 | 422 | 0.6107 | 0.4733 | 0.6107 | 0.7815 |
263
+ | No log | 4.1980 | 424 | 0.4889 | 0.5122 | 0.4889 | 0.6992 |
264
+ | No log | 4.2178 | 426 | 0.4738 | 0.5192 | 0.4738 | 0.6884 |
265
+ | No log | 4.2376 | 428 | 0.4964 | 0.5090 | 0.4964 | 0.7046 |
266
+ | No log | 4.2574 | 430 | 0.5861 | 0.5455 | 0.5861 | 0.7656 |
267
+ | No log | 4.2772 | 432 | 0.6618 | 0.5285 | 0.6618 | 0.8135 |
268
+ | No log | 4.2970 | 434 | 0.6761 | 0.5604 | 0.6761 | 0.8223 |
269
+ | No log | 4.3168 | 436 | 0.5690 | 0.6085 | 0.5690 | 0.7543 |
270
+ | No log | 4.3366 | 438 | 0.5271 | 0.6033 | 0.5271 | 0.7260 |
271
+ | No log | 4.3564 | 440 | 0.5969 | 0.5869 | 0.5969 | 0.7726 |
272
+ | No log | 4.3762 | 442 | 0.5492 | 0.6088 | 0.5492 | 0.7411 |
273
+ | No log | 4.3960 | 444 | 0.5130 | 0.6261 | 0.5130 | 0.7163 |
274
+ | No log | 4.4158 | 446 | 0.5983 | 0.5908 | 0.5983 | 0.7735 |
275
+ | No log | 4.4356 | 448 | 0.6330 | 0.5648 | 0.6330 | 0.7956 |
276
+ | No log | 4.4554 | 450 | 0.5773 | 0.5612 | 0.5773 | 0.7598 |
277
+ | No log | 4.4752 | 452 | 0.4904 | 0.5814 | 0.4904 | 0.7003 |
278
+ | No log | 4.4950 | 454 | 0.4566 | 0.5996 | 0.4566 | 0.6757 |
279
+ | No log | 4.5149 | 456 | 0.4826 | 0.6155 | 0.4826 | 0.6947 |
280
+ | No log | 4.5347 | 458 | 0.5790 | 0.5645 | 0.5790 | 0.7609 |
281
+ | No log | 4.5545 | 460 | 0.6902 | 0.5745 | 0.6902 | 0.8308 |
282
+ | No log | 4.5743 | 462 | 0.7205 | 0.5905 | 0.7205 | 0.8488 |
283
+ | No log | 4.5941 | 464 | 0.6902 | 0.6135 | 0.6902 | 0.8308 |
284
+ | No log | 4.6139 | 466 | 0.6225 | 0.6113 | 0.6225 | 0.7890 |
285
+ | No log | 4.6337 | 468 | 0.5521 | 0.6185 | 0.5521 | 0.7430 |
286
+ | No log | 4.6535 | 470 | 0.5718 | 0.6076 | 0.5718 | 0.7562 |
287
+ | No log | 4.6733 | 472 | 0.6828 | 0.5925 | 0.6828 | 0.8263 |
288
+ | No log | 4.6931 | 474 | 0.7151 | 0.5779 | 0.7151 | 0.8456 |
289
+ | No log | 4.7129 | 476 | 0.6134 | 0.5901 | 0.6134 | 0.7832 |
290
+ | No log | 4.7327 | 478 | 0.5356 | 0.5923 | 0.5356 | 0.7319 |
291
+ | No log | 4.7525 | 480 | 0.5328 | 0.5884 | 0.5328 | 0.7299 |
292
+ | No log | 4.7723 | 482 | 0.4821 | 0.6312 | 0.4821 | 0.6943 |
293
+ | No log | 4.7921 | 484 | 0.4674 | 0.6076 | 0.4674 | 0.6837 |
294
+ | No log | 4.8119 | 486 | 0.4996 | 0.5995 | 0.4996 | 0.7068 |
295
+ | No log | 4.8317 | 488 | 0.5655 | 0.5417 | 0.5655 | 0.7520 |
296
+ | No log | 4.8515 | 490 | 0.6328 | 0.5383 | 0.6328 | 0.7955 |
297
+ | No log | 4.8713 | 492 | 0.5947 | 0.5256 | 0.5947 | 0.7712 |
298
+ | No log | 4.8911 | 494 | 0.6077 | 0.5483 | 0.6077 | 0.7796 |
299
+ | No log | 4.9109 | 496 | 0.5424 | 0.5739 | 0.5424 | 0.7365 |
300
+ | No log | 4.9307 | 498 | 0.4834 | 0.6249 | 0.4834 | 0.6953 |
301
+ | 0.494 | 4.9505 | 500 | 0.4813 | 0.6382 | 0.4813 | 0.6938 |
302
+ | 0.494 | 4.9703 | 502 | 0.5511 | 0.6129 | 0.5511 | 0.7424 |
303
+ | 0.494 | 4.9901 | 504 | 0.7097 | 0.4703 | 0.7097 | 0.8424 |
304
+ | 0.494 | 5.0099 | 506 | 0.7715 | 0.4114 | 0.7715 | 0.8783 |
305
+ | 0.494 | 5.0297 | 508 | 0.6739 | 0.4589 | 0.6739 | 0.8209 |
306
+ | 0.494 | 5.0495 | 510 | 0.5705 | 0.5583 | 0.5705 | 0.7553 |
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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