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Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask5_organization

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Training in progress, step 500

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  1. README.md +317 -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_TestTask4_organization
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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_TestTask4_organization
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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: 0.8605
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+ - Qwk: 0.6299
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+ - Mse: 0.8605
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+ - Rmse: 0.9276
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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 | 0.0187 | 2 | 4.1512 | 0.0204 | 4.1512 | 2.0374 |
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+ | No log | 0.0374 | 4 | 2.7415 | 0.1026 | 2.7415 | 1.6557 |
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+ | No log | 0.0561 | 6 | 1.7383 | 0.1586 | 1.7383 | 1.3184 |
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+ | No log | 0.0748 | 8 | 1.0072 | 0.2544 | 1.0072 | 1.0036 |
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+ | No log | 0.0935 | 10 | 1.2004 | 0.1056 | 1.2004 | 1.0956 |
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+ | No log | 0.1121 | 12 | 1.5846 | -0.1779 | 1.5846 | 1.2588 |
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+ | No log | 0.1308 | 14 | 1.4274 | -0.0300 | 1.4274 | 1.1947 |
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+ | No log | 0.1495 | 16 | 1.2516 | 0.0450 | 1.2516 | 1.1187 |
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+ | No log | 0.1682 | 18 | 1.3111 | 0.1512 | 1.3111 | 1.1451 |
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+ | No log | 0.1869 | 20 | 1.1973 | 0.1270 | 1.1973 | 1.0942 |
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+ | No log | 0.2056 | 22 | 0.9866 | 0.1811 | 0.9866 | 0.9933 |
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+ | No log | 0.2243 | 24 | 0.8823 | 0.3492 | 0.8823 | 0.9393 |
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+ | No log | 0.2430 | 26 | 1.1442 | 0.3337 | 1.1442 | 1.0697 |
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+ | No log | 0.2617 | 28 | 1.0645 | 0.3763 | 1.0645 | 1.0317 |
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+ | No log | 0.2804 | 30 | 0.8436 | 0.3521 | 0.8436 | 0.9185 |
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+ | No log | 0.2991 | 32 | 0.9211 | 0.2925 | 0.9211 | 0.9597 |
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+ | No log | 0.3178 | 34 | 1.0492 | 0.2193 | 1.0492 | 1.0243 |
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+ | No log | 0.3364 | 36 | 1.0401 | 0.1966 | 1.0401 | 1.0198 |
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+ | No log | 0.3551 | 38 | 0.9345 | 0.2658 | 0.9345 | 0.9667 |
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+ | No log | 0.3738 | 40 | 0.7994 | 0.3210 | 0.7994 | 0.8941 |
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+ | No log | 0.3925 | 42 | 0.7436 | 0.4083 | 0.7436 | 0.8623 |
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+ | No log | 0.4112 | 44 | 0.8024 | 0.4110 | 0.8024 | 0.8957 |
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+ | No log | 0.4299 | 46 | 0.7496 | 0.4252 | 0.7496 | 0.8658 |
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+ | No log | 0.4486 | 48 | 0.7613 | 0.3729 | 0.7613 | 0.8725 |
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+ | No log | 0.4673 | 50 | 0.9850 | 0.2389 | 0.9850 | 0.9925 |
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+ | No log | 0.4860 | 52 | 1.0449 | 0.1985 | 1.0449 | 1.0222 |
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+ | No log | 0.5047 | 54 | 0.9138 | 0.2617 | 0.9138 | 0.9559 |
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+ | No log | 0.5234 | 56 | 0.7373 | 0.3942 | 0.7373 | 0.8587 |
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+ | No log | 0.5421 | 58 | 0.6902 | 0.4912 | 0.6902 | 0.8308 |
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+ | No log | 0.5607 | 60 | 0.6784 | 0.5205 | 0.6784 | 0.8237 |
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+ | No log | 0.5794 | 62 | 0.6504 | 0.5030 | 0.6504 | 0.8065 |
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+ | No log | 0.5981 | 64 | 0.6835 | 0.4278 | 0.6835 | 0.8267 |
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+ | No log | 0.6168 | 66 | 0.8242 | 0.4585 | 0.8242 | 0.9079 |
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+ | No log | 0.6355 | 68 | 0.8274 | 0.4728 | 0.8274 | 0.9096 |
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+ | No log | 0.6542 | 70 | 0.7348 | 0.5384 | 0.7348 | 0.8572 |
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+ | No log | 0.6729 | 72 | 0.6150 | 0.6150 | 0.6150 | 0.7842 |
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+ | No log | 0.6916 | 74 | 0.6306 | 0.6209 | 0.6306 | 0.7941 |
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+ | No log | 0.7103 | 76 | 0.6165 | 0.6355 | 0.6165 | 0.7852 |
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+ | No log | 0.7290 | 78 | 0.6091 | 0.6439 | 0.6091 | 0.7804 |
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+ | No log | 0.7477 | 80 | 0.6370 | 0.5982 | 0.6370 | 0.7981 |
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+ | No log | 0.7664 | 82 | 0.6908 | 0.4930 | 0.6908 | 0.8311 |
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+ | No log | 0.7850 | 84 | 0.7874 | 0.5079 | 0.7874 | 0.8874 |
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+ | No log | 0.8037 | 86 | 0.8471 | 0.4342 | 0.8471 | 0.9204 |
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+ | No log | 0.8224 | 88 | 0.7772 | 0.4994 | 0.7772 | 0.8816 |
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+ | No log | 0.8411 | 90 | 0.7175 | 0.4699 | 0.7175 | 0.8471 |
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+ | No log | 0.8598 | 92 | 0.6817 | 0.4579 | 0.6817 | 0.8257 |
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+ | No log | 0.8785 | 94 | 0.6611 | 0.4606 | 0.6611 | 0.8131 |
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+ | No log | 0.8972 | 96 | 0.6536 | 0.4471 | 0.6536 | 0.8084 |
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+ | No log | 0.9159 | 98 | 0.6371 | 0.4465 | 0.6371 | 0.7982 |
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+ | No log | 0.9346 | 100 | 0.6251 | 0.4640 | 0.6251 | 0.7907 |
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+ | No log | 0.9533 | 102 | 0.6222 | 0.4949 | 0.6222 | 0.7888 |
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+ | No log | 0.9720 | 104 | 0.6430 | 0.5249 | 0.6430 | 0.8019 |
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+ | No log | 0.9907 | 106 | 0.7397 | 0.5294 | 0.7397 | 0.8601 |
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+ | No log | 1.0093 | 108 | 0.8386 | 0.4899 | 0.8386 | 0.9157 |
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+ | No log | 1.0280 | 110 | 0.7692 | 0.5441 | 0.7692 | 0.8771 |
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+ | No log | 1.0467 | 112 | 0.6749 | 0.5931 | 0.6749 | 0.8215 |
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+ | No log | 1.0654 | 114 | 0.6820 | 0.6068 | 0.6820 | 0.8258 |
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+ | No log | 1.0841 | 116 | 0.7510 | 0.5562 | 0.7510 | 0.8666 |
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+ | No log | 1.1028 | 118 | 0.7368 | 0.5659 | 0.7368 | 0.8584 |
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+ | No log | 1.1215 | 120 | 0.6435 | 0.5915 | 0.6435 | 0.8022 |
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+ | No log | 1.1402 | 122 | 0.6140 | 0.6072 | 0.6140 | 0.7836 |
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+ | No log | 1.1589 | 124 | 0.6646 | 0.5826 | 0.6646 | 0.8152 |
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+ | No log | 1.1776 | 126 | 0.6892 | 0.5438 | 0.6892 | 0.8302 |
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+ | No log | 1.1963 | 128 | 0.6873 | 0.4937 | 0.6873 | 0.8290 |
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+ | No log | 1.2150 | 130 | 0.7477 | 0.4530 | 0.7477 | 0.8647 |
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+ | No log | 1.2336 | 132 | 0.7320 | 0.4505 | 0.7320 | 0.8556 |
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+ | No log | 1.2523 | 134 | 0.6654 | 0.5147 | 0.6654 | 0.8157 |
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+ | No log | 1.2710 | 136 | 0.5774 | 0.5986 | 0.5774 | 0.7599 |
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+ | No log | 1.2897 | 138 | 0.5777 | 0.6351 | 0.5777 | 0.7601 |
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+ | No log | 1.3084 | 140 | 0.5718 | 0.6751 | 0.5718 | 0.7562 |
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+ | No log | 1.3271 | 142 | 0.5408 | 0.6649 | 0.5408 | 0.7354 |
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+ | No log | 1.3458 | 144 | 0.5579 | 0.6395 | 0.5579 | 0.7469 |
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+ | No log | 1.3645 | 146 | 0.5984 | 0.6337 | 0.5984 | 0.7736 |
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+ | No log | 1.3832 | 148 | 0.5985 | 0.6058 | 0.5985 | 0.7737 |
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+ | No log | 1.4019 | 150 | 0.5921 | 0.5728 | 0.5921 | 0.7695 |
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+ | No log | 1.4206 | 152 | 0.5832 | 0.6091 | 0.5832 | 0.7637 |
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+ | No log | 1.4393 | 154 | 0.5952 | 0.5947 | 0.5952 | 0.7715 |
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+ | No log | 1.4579 | 156 | 0.6563 | 0.5726 | 0.6563 | 0.8101 |
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+ | No log | 1.4766 | 158 | 0.9074 | 0.5181 | 0.9074 | 0.9526 |
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+ | No log | 1.4953 | 160 | 1.0554 | 0.4443 | 1.0554 | 1.0274 |
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+ | No log | 1.5140 | 162 | 0.9148 | 0.5049 | 0.9148 | 0.9565 |
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+ | No log | 1.5327 | 164 | 0.7863 | 0.5285 | 0.7863 | 0.8868 |
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+ | No log | 1.5514 | 166 | 0.7000 | 0.5515 | 0.7000 | 0.8366 |
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+ | No log | 1.5701 | 168 | 0.6121 | 0.5881 | 0.6121 | 0.7824 |
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+ | No log | 1.5888 | 170 | 0.5812 | 0.6263 | 0.5812 | 0.7624 |
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+ | No log | 1.6075 | 172 | 0.5953 | 0.6218 | 0.5953 | 0.7715 |
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+ | No log | 1.6262 | 174 | 0.6050 | 0.6376 | 0.6050 | 0.7778 |
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+ | No log | 1.6449 | 176 | 0.5710 | 0.6437 | 0.5710 | 0.7556 |
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+ | No log | 1.6636 | 178 | 0.6117 | 0.5954 | 0.6117 | 0.7821 |
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+ | No log | 1.6822 | 180 | 0.7070 | 0.5410 | 0.7070 | 0.8408 |
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+ | No log | 1.7009 | 182 | 0.7082 | 0.5650 | 0.7082 | 0.8415 |
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+ | No log | 1.7196 | 184 | 0.7070 | 0.5529 | 0.7070 | 0.8408 |
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+ | No log | 1.7383 | 186 | 0.6388 | 0.6263 | 0.6388 | 0.7992 |
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+ | No log | 1.7570 | 188 | 0.5777 | 0.6550 | 0.5777 | 0.7601 |
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+ | No log | 1.7757 | 190 | 0.5813 | 0.6684 | 0.5813 | 0.7624 |
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+ | No log | 1.7944 | 192 | 0.5962 | 0.6580 | 0.5962 | 0.7722 |
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+ | No log | 1.8131 | 194 | 0.5893 | 0.6545 | 0.5893 | 0.7676 |
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+ | No log | 1.8318 | 196 | 0.5882 | 0.6819 | 0.5882 | 0.7670 |
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+ | No log | 1.8505 | 198 | 0.6728 | 0.6336 | 0.6728 | 0.8202 |
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+ | No log | 1.8692 | 200 | 0.7996 | 0.5602 | 0.7996 | 0.8942 |
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+ | No log | 1.8879 | 202 | 0.7845 | 0.5578 | 0.7845 | 0.8857 |
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+ | No log | 1.9065 | 204 | 0.6816 | 0.6133 | 0.6816 | 0.8256 |
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+ | No log | 1.9252 | 206 | 0.6615 | 0.5877 | 0.6615 | 0.8133 |
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+ | No log | 1.9439 | 208 | 0.6647 | 0.5862 | 0.6647 | 0.8153 |
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+ | No log | 1.9626 | 210 | 0.6940 | 0.5870 | 0.6940 | 0.8331 |
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+ | No log | 1.9813 | 212 | 0.6683 | 0.6313 | 0.6683 | 0.8175 |
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+ | No log | 2.0 | 214 | 0.6509 | 0.6078 | 0.6509 | 0.8068 |
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+ | No log | 2.0187 | 216 | 0.6518 | 0.6058 | 0.6518 | 0.8074 |
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+ | No log | 2.0374 | 218 | 0.6855 | 0.5747 | 0.6855 | 0.8279 |
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+ | No log | 2.0561 | 220 | 0.7135 | 0.4728 | 0.7135 | 0.8447 |
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+ | No log | 2.0748 | 222 | 0.6786 | 0.5292 | 0.6786 | 0.8238 |
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+ | No log | 2.0935 | 224 | 0.6634 | 0.5416 | 0.6634 | 0.8145 |
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+ | No log | 2.1121 | 226 | 0.6797 | 0.5429 | 0.6797 | 0.8244 |
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+ | No log | 2.1308 | 228 | 0.6489 | 0.5825 | 0.6489 | 0.8056 |
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+ | No log | 2.1495 | 230 | 0.5903 | 0.6384 | 0.5903 | 0.7683 |
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+ | No log | 2.1682 | 232 | 0.5637 | 0.6620 | 0.5637 | 0.7508 |
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+ | No log | 2.1869 | 234 | 0.5728 | 0.6534 | 0.5728 | 0.7568 |
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+ | No log | 2.2056 | 236 | 0.5494 | 0.6737 | 0.5494 | 0.7412 |
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+ | No log | 2.2243 | 238 | 0.5402 | 0.6748 | 0.5402 | 0.7350 |
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+ | No log | 2.2430 | 240 | 0.5496 | 0.6682 | 0.5496 | 0.7413 |
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+ | No log | 2.2617 | 242 | 0.6096 | 0.6528 | 0.6096 | 0.7808 |
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+ | No log | 2.2804 | 244 | 0.5963 | 0.6451 | 0.5963 | 0.7722 |
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+ | No log | 2.2991 | 246 | 0.6179 | 0.6440 | 0.6179 | 0.7860 |
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+ | No log | 2.3178 | 248 | 0.6334 | 0.6498 | 0.6334 | 0.7959 |
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+ | No log | 2.3364 | 250 | 0.5781 | 0.6595 | 0.5781 | 0.7604 |
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+ | No log | 2.3551 | 252 | 0.5603 | 0.6678 | 0.5603 | 0.7486 |
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+ | No log | 2.3738 | 254 | 0.5936 | 0.6826 | 0.5936 | 0.7705 |
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+ | No log | 2.3925 | 256 | 0.6564 | 0.6490 | 0.6564 | 0.8102 |
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+ | No log | 2.4112 | 258 | 0.6203 | 0.6759 | 0.6203 | 0.7876 |
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+ | No log | 2.4299 | 260 | 0.5515 | 0.6702 | 0.5515 | 0.7426 |
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+ | No log | 2.4486 | 262 | 0.5436 | 0.6593 | 0.5436 | 0.7373 |
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+ | No log | 2.4673 | 264 | 0.5423 | 0.6548 | 0.5423 | 0.7364 |
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+ | No log | 2.4860 | 266 | 0.5716 | 0.6675 | 0.5716 | 0.7560 |
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+ | No log | 2.5047 | 268 | 0.6823 | 0.6530 | 0.6823 | 0.8260 |
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+ | No log | 2.5234 | 270 | 0.7107 | 0.6519 | 0.7107 | 0.8431 |
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+ | No log | 2.5421 | 272 | 0.5959 | 0.6558 | 0.5959 | 0.7719 |
188
+ | No log | 2.5607 | 274 | 0.5796 | 0.6698 | 0.5796 | 0.7613 |
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+ | No log | 2.5794 | 276 | 0.6370 | 0.6523 | 0.6370 | 0.7981 |
190
+ | No log | 2.5981 | 278 | 0.7433 | 0.6025 | 0.7433 | 0.8621 |
191
+ | No log | 2.6168 | 280 | 0.7558 | 0.6108 | 0.7558 | 0.8694 |
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+ | No log | 2.6355 | 282 | 0.7214 | 0.6108 | 0.7214 | 0.8494 |
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+ | No log | 2.6542 | 284 | 0.7315 | 0.6048 | 0.7315 | 0.8553 |
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+ | No log | 2.6729 | 286 | 0.6519 | 0.6052 | 0.6519 | 0.8074 |
195
+ | No log | 2.6916 | 288 | 0.6372 | 0.6161 | 0.6372 | 0.7983 |
196
+ | No log | 2.7103 | 290 | 0.5989 | 0.6203 | 0.5989 | 0.7739 |
197
+ | No log | 2.7290 | 292 | 0.5735 | 0.6688 | 0.5735 | 0.7573 |
198
+ | No log | 2.7477 | 294 | 0.5960 | 0.6358 | 0.5960 | 0.7720 |
199
+ | No log | 2.7664 | 296 | 0.5946 | 0.6724 | 0.5946 | 0.7711 |
200
+ | No log | 2.7850 | 298 | 0.5735 | 0.6691 | 0.5735 | 0.7573 |
201
+ | No log | 2.8037 | 300 | 0.5592 | 0.6552 | 0.5592 | 0.7478 |
202
+ | No log | 2.8224 | 302 | 0.5555 | 0.6607 | 0.5555 | 0.7453 |
203
+ | No log | 2.8411 | 304 | 0.5566 | 0.6782 | 0.5566 | 0.7461 |
204
+ | No log | 2.8598 | 306 | 0.5792 | 0.6756 | 0.5792 | 0.7611 |
205
+ | No log | 2.8785 | 308 | 0.5419 | 0.6908 | 0.5419 | 0.7362 |
206
+ | No log | 2.8972 | 310 | 0.5292 | 0.6782 | 0.5292 | 0.7275 |
207
+ | No log | 2.9159 | 312 | 0.5270 | 0.6780 | 0.5270 | 0.7259 |
208
+ | No log | 2.9346 | 314 | 0.5312 | 0.6754 | 0.5312 | 0.7289 |
209
+ | No log | 2.9533 | 316 | 0.5304 | 0.6739 | 0.5304 | 0.7283 |
210
+ | No log | 2.9720 | 318 | 0.5550 | 0.6516 | 0.5550 | 0.7450 |
211
+ | No log | 2.9907 | 320 | 0.5491 | 0.6771 | 0.5491 | 0.7410 |
212
+ | No log | 3.0093 | 322 | 0.5870 | 0.6973 | 0.5870 | 0.7661 |
213
+ | No log | 3.0280 | 324 | 0.7666 | 0.6591 | 0.7666 | 0.8756 |
214
+ | No log | 3.0467 | 326 | 0.8554 | 0.6114 | 0.8554 | 0.9249 |
215
+ | No log | 3.0654 | 328 | 0.7249 | 0.6787 | 0.7249 | 0.8514 |
216
+ | No log | 3.0841 | 330 | 0.6079 | 0.6918 | 0.6079 | 0.7797 |
217
+ | No log | 3.1028 | 332 | 0.5624 | 0.7101 | 0.5624 | 0.7500 |
218
+ | No log | 3.1215 | 334 | 0.5671 | 0.7236 | 0.5671 | 0.7530 |
219
+ | No log | 3.1402 | 336 | 0.5648 | 0.7048 | 0.5648 | 0.7516 |
220
+ | No log | 3.1589 | 338 | 0.6356 | 0.6726 | 0.6356 | 0.7972 |
221
+ | No log | 3.1776 | 340 | 0.6706 | 0.6708 | 0.6706 | 0.8189 |
222
+ | No log | 3.1963 | 342 | 0.5656 | 0.6760 | 0.5656 | 0.7520 |
223
+ | No log | 3.2150 | 344 | 0.5417 | 0.6890 | 0.5417 | 0.7360 |
224
+ | No log | 3.2336 | 346 | 0.5333 | 0.6845 | 0.5333 | 0.7302 |
225
+ | No log | 3.2523 | 348 | 0.5260 | 0.6806 | 0.5260 | 0.7253 |
226
+ | No log | 3.2710 | 350 | 0.5301 | 0.6929 | 0.5301 | 0.7281 |
227
+ | No log | 3.2897 | 352 | 0.5189 | 0.6823 | 0.5189 | 0.7204 |
228
+ | No log | 3.3084 | 354 | 0.5236 | 0.6759 | 0.5236 | 0.7236 |
229
+ | No log | 3.3271 | 356 | 0.5187 | 0.7040 | 0.5187 | 0.7202 |
230
+ | No log | 3.3458 | 358 | 0.5426 | 0.6881 | 0.5426 | 0.7366 |
231
+ | No log | 3.3645 | 360 | 0.5326 | 0.7044 | 0.5326 | 0.7298 |
232
+ | No log | 3.3832 | 362 | 0.5378 | 0.6882 | 0.5378 | 0.7334 |
233
+ | No log | 3.4019 | 364 | 0.6033 | 0.6687 | 0.6033 | 0.7767 |
234
+ | No log | 3.4206 | 366 | 0.6317 | 0.6429 | 0.6317 | 0.7948 |
235
+ | No log | 3.4393 | 368 | 0.7011 | 0.6028 | 0.7011 | 0.8373 |
236
+ | No log | 3.4579 | 370 | 0.7362 | 0.5822 | 0.7362 | 0.8580 |
237
+ | No log | 3.4766 | 372 | 0.6642 | 0.6238 | 0.6642 | 0.8150 |
238
+ | No log | 3.4953 | 374 | 0.5618 | 0.6708 | 0.5618 | 0.7495 |
239
+ | No log | 3.5140 | 376 | 0.5598 | 0.6805 | 0.5598 | 0.7482 |
240
+ | No log | 3.5327 | 378 | 0.6239 | 0.6613 | 0.6239 | 0.7899 |
241
+ | No log | 3.5514 | 380 | 0.6843 | 0.6230 | 0.6843 | 0.8272 |
242
+ | No log | 3.5701 | 382 | 0.6110 | 0.6382 | 0.6110 | 0.7817 |
243
+ | No log | 3.5888 | 384 | 0.5550 | 0.6741 | 0.5550 | 0.7450 |
244
+ | No log | 3.6075 | 386 | 0.5483 | 0.6713 | 0.5483 | 0.7405 |
245
+ | No log | 3.6262 | 388 | 0.5898 | 0.6342 | 0.5898 | 0.7680 |
246
+ | No log | 3.6449 | 390 | 0.7250 | 0.5979 | 0.7250 | 0.8514 |
247
+ | No log | 3.6636 | 392 | 0.7286 | 0.6138 | 0.7286 | 0.8536 |
248
+ | No log | 3.6822 | 394 | 0.6173 | 0.6593 | 0.6173 | 0.7857 |
249
+ | No log | 3.7009 | 396 | 0.5660 | 0.6565 | 0.5660 | 0.7523 |
250
+ | No log | 3.7196 | 398 | 0.5415 | 0.6697 | 0.5415 | 0.7359 |
251
+ | No log | 3.7383 | 400 | 0.5400 | 0.6625 | 0.5400 | 0.7348 |
252
+ | No log | 3.7570 | 402 | 0.6175 | 0.6685 | 0.6175 | 0.7858 |
253
+ | No log | 3.7757 | 404 | 0.6847 | 0.6376 | 0.6847 | 0.8275 |
254
+ | No log | 3.7944 | 406 | 0.6731 | 0.6374 | 0.6731 | 0.8204 |
255
+ | No log | 3.8131 | 408 | 0.6506 | 0.6466 | 0.6506 | 0.8066 |
256
+ | No log | 3.8318 | 410 | 0.5749 | 0.6617 | 0.5749 | 0.7582 |
257
+ | No log | 3.8505 | 412 | 0.5310 | 0.6818 | 0.5310 | 0.7287 |
258
+ | No log | 3.8692 | 414 | 0.5405 | 0.6732 | 0.5405 | 0.7352 |
259
+ | No log | 3.8879 | 416 | 0.5963 | 0.6710 | 0.5963 | 0.7722 |
260
+ | No log | 3.9065 | 418 | 0.6389 | 0.6558 | 0.6389 | 0.7993 |
261
+ | No log | 3.9252 | 420 | 0.5552 | 0.6788 | 0.5552 | 0.7451 |
262
+ | No log | 3.9439 | 422 | 0.5279 | 0.6853 | 0.5279 | 0.7266 |
263
+ | No log | 3.9626 | 424 | 0.5866 | 0.6651 | 0.5866 | 0.7659 |
264
+ | No log | 3.9813 | 426 | 0.6537 | 0.6389 | 0.6537 | 0.8085 |
265
+ | No log | 4.0 | 428 | 0.6126 | 0.6489 | 0.6126 | 0.7827 |
266
+ | No log | 4.0187 | 430 | 0.5334 | 0.7000 | 0.5334 | 0.7303 |
267
+ | No log | 4.0374 | 432 | 0.6202 | 0.6410 | 0.6202 | 0.7875 |
268
+ | No log | 4.0561 | 434 | 0.8063 | 0.6155 | 0.8063 | 0.8979 |
269
+ | No log | 4.0748 | 436 | 0.8806 | 0.5920 | 0.8806 | 0.9384 |
270
+ | No log | 4.0935 | 438 | 0.7559 | 0.6236 | 0.7559 | 0.8695 |
271
+ | No log | 4.1121 | 440 | 0.6550 | 0.6586 | 0.6550 | 0.8093 |
272
+ | No log | 4.1308 | 442 | 0.6897 | 0.6693 | 0.6897 | 0.8305 |
273
+ | No log | 4.1495 | 444 | 0.6787 | 0.6682 | 0.6787 | 0.8238 |
274
+ | No log | 4.1682 | 446 | 0.6326 | 0.6971 | 0.6326 | 0.7954 |
275
+ | No log | 4.1869 | 448 | 0.6310 | 0.6866 | 0.6310 | 0.7944 |
276
+ | No log | 4.2056 | 450 | 0.6551 | 0.6812 | 0.6551 | 0.8094 |
277
+ | No log | 4.2243 | 452 | 0.6345 | 0.6661 | 0.6345 | 0.7965 |
278
+ | No log | 4.2430 | 454 | 0.6768 | 0.6372 | 0.6768 | 0.8227 |
279
+ | No log | 4.2617 | 456 | 0.6700 | 0.6233 | 0.6700 | 0.8185 |
280
+ | No log | 4.2804 | 458 | 0.6310 | 0.6494 | 0.6310 | 0.7944 |
281
+ | No log | 4.2991 | 460 | 0.5936 | 0.6593 | 0.5936 | 0.7705 |
282
+ | No log | 4.3178 | 462 | 0.6004 | 0.6686 | 0.6004 | 0.7748 |
283
+ | No log | 4.3364 | 464 | 0.6189 | 0.6683 | 0.6189 | 0.7867 |
284
+ | No log | 4.3551 | 466 | 0.6444 | 0.6800 | 0.6444 | 0.8027 |
285
+ | No log | 4.3738 | 468 | 0.6662 | 0.6700 | 0.6662 | 0.8162 |
286
+ | No log | 4.3925 | 470 | 0.6395 | 0.6770 | 0.6395 | 0.7997 |
287
+ | No log | 4.4112 | 472 | 0.7194 | 0.6909 | 0.7194 | 0.8482 |
288
+ | No log | 4.4299 | 474 | 0.9093 | 0.6407 | 0.9093 | 0.9536 |
289
+ | No log | 4.4486 | 476 | 0.9676 | 0.6270 | 0.9676 | 0.9837 |
290
+ | No log | 4.4673 | 478 | 0.8043 | 0.6763 | 0.8043 | 0.8968 |
291
+ | No log | 4.4860 | 480 | 0.6564 | 0.6648 | 0.6564 | 0.8102 |
292
+ | No log | 4.5047 | 482 | 0.6184 | 0.6809 | 0.6184 | 0.7864 |
293
+ | No log | 4.5234 | 484 | 0.5990 | 0.6315 | 0.5990 | 0.7740 |
294
+ | No log | 4.5421 | 486 | 0.5745 | 0.6519 | 0.5745 | 0.7579 |
295
+ | No log | 4.5607 | 488 | 0.6115 | 0.6688 | 0.6115 | 0.7820 |
296
+ | No log | 4.5794 | 490 | 0.6926 | 0.6472 | 0.6926 | 0.8322 |
297
+ | No log | 4.5981 | 492 | 0.6485 | 0.6695 | 0.6485 | 0.8053 |
298
+ | No log | 4.6168 | 494 | 0.5874 | 0.7138 | 0.5874 | 0.7664 |
299
+ | No log | 4.6355 | 496 | 0.5765 | 0.7000 | 0.5765 | 0.7593 |
300
+ | No log | 4.6542 | 498 | 0.5817 | 0.6808 | 0.5817 | 0.7627 |
301
+ | 0.5458 | 4.6729 | 500 | 0.6435 | 0.6837 | 0.6435 | 0.8022 |
302
+ | 0.5458 | 4.6916 | 502 | 0.7844 | 0.6395 | 0.7844 | 0.8856 |
303
+ | 0.5458 | 4.7103 | 504 | 0.7559 | 0.6373 | 0.7559 | 0.8694 |
304
+ | 0.5458 | 4.7290 | 506 | 0.6251 | 0.7013 | 0.6251 | 0.7906 |
305
+ | 0.5458 | 4.7477 | 508 | 0.5980 | 0.6673 | 0.5980 | 0.7733 |
306
+ | 0.5458 | 4.7664 | 510 | 0.6180 | 0.6700 | 0.6180 | 0.7861 |
307
+ | 0.5458 | 4.7850 | 512 | 0.5997 | 0.6611 | 0.5997 | 0.7744 |
308
+ | 0.5458 | 4.8037 | 514 | 0.6298 | 0.6834 | 0.6298 | 0.7936 |
309
+ | 0.5458 | 4.8224 | 516 | 0.8605 | 0.6299 | 0.8605 | 0.9276 |
310
+
311
+
312
+ ### Framework versions
313
+
314
+ - Transformers 4.44.2
315
+ - Pytorch 2.4.0+cu118
316
+ - Datasets 2.21.0
317
+ - 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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