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Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask3_holistic

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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_TestTask3_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_TestTask3_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: 0.5050
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+ - Qwk: 0.6388
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+ - Mse: 0.5050
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+ - Rmse: 0.7106
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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 | 0.0194 | 2 | 4.4958 | -0.0054 | 4.4958 | 2.1203 |
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+ | No log | 0.0388 | 4 | 2.8399 | 0.0632 | 2.8400 | 1.6852 |
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+ | No log | 0.0583 | 6 | 2.0492 | 0.0432 | 2.0492 | 1.4315 |
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+ | No log | 0.0777 | 8 | 1.0146 | 0.1781 | 1.0146 | 1.0073 |
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+ | No log | 0.0971 | 10 | 0.8743 | 0.0522 | 0.8743 | 0.9350 |
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+ | No log | 0.1165 | 12 | 0.9642 | 0.0731 | 0.9642 | 0.9819 |
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+ | No log | 0.1359 | 14 | 0.9471 | 0.1030 | 0.9471 | 0.9732 |
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+ | No log | 0.1553 | 16 | 0.8465 | 0.0674 | 0.8465 | 0.9201 |
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+ | No log | 0.1748 | 18 | 0.8455 | 0.2360 | 0.8455 | 0.9195 |
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+ | No log | 0.1942 | 20 | 0.8698 | 0.1910 | 0.8698 | 0.9326 |
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+ | No log | 0.2136 | 22 | 0.7840 | 0.3570 | 0.7840 | 0.8855 |
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+ | No log | 0.2330 | 24 | 0.6955 | 0.3456 | 0.6955 | 0.8340 |
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+ | No log | 0.2524 | 26 | 0.6584 | 0.3346 | 0.6584 | 0.8114 |
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+ | No log | 0.2718 | 28 | 0.6445 | 0.3874 | 0.6445 | 0.8028 |
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+ | No log | 0.2913 | 30 | 0.7288 | 0.3786 | 0.7288 | 0.8537 |
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+ | No log | 0.3107 | 32 | 0.6198 | 0.4433 | 0.6198 | 0.7873 |
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+ | No log | 0.3301 | 34 | 0.6510 | 0.3971 | 0.6510 | 0.8068 |
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+ | No log | 0.3495 | 36 | 0.7866 | 0.2753 | 0.7866 | 0.8869 |
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+ | No log | 0.3689 | 38 | 0.7707 | 0.2445 | 0.7707 | 0.8779 |
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+ | No log | 0.3883 | 40 | 0.7219 | 0.2483 | 0.7219 | 0.8496 |
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+ | No log | 0.4078 | 42 | 0.6840 | 0.2715 | 0.6840 | 0.8270 |
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+ | No log | 0.4272 | 44 | 0.6243 | 0.3506 | 0.6243 | 0.7901 |
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+ | No log | 0.4466 | 46 | 0.6064 | 0.4378 | 0.6064 | 0.7787 |
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+ | No log | 0.4660 | 48 | 0.7324 | 0.3871 | 0.7324 | 0.8558 |
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+ | No log | 0.4854 | 50 | 0.7590 | 0.4165 | 0.7590 | 0.8712 |
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+ | No log | 0.5049 | 52 | 0.6698 | 0.4281 | 0.6698 | 0.8184 |
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+ | No log | 0.5243 | 54 | 0.5848 | 0.5165 | 0.5848 | 0.7647 |
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+ | No log | 0.5437 | 56 | 0.5371 | 0.5142 | 0.5371 | 0.7329 |
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+ | No log | 0.5631 | 58 | 0.5849 | 0.5200 | 0.5849 | 0.7648 |
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+ | No log | 0.5825 | 60 | 0.6442 | 0.4371 | 0.6442 | 0.8026 |
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+ | No log | 0.6019 | 62 | 0.9557 | 0.4008 | 0.9557 | 0.9776 |
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+ | No log | 0.6214 | 64 | 1.0889 | 0.2727 | 1.0889 | 1.0435 |
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+ | No log | 0.6408 | 66 | 0.6953 | 0.4244 | 0.6953 | 0.8338 |
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+ | No log | 0.6602 | 68 | 0.6924 | 0.4619 | 0.6924 | 0.8321 |
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+ | No log | 0.6796 | 70 | 0.6382 | 0.5098 | 0.6382 | 0.7989 |
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+ | No log | 0.6990 | 72 | 0.5425 | 0.4735 | 0.5425 | 0.7365 |
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+ | No log | 0.7184 | 74 | 0.5192 | 0.4607 | 0.5192 | 0.7205 |
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+ | No log | 0.7379 | 76 | 0.5212 | 0.4788 | 0.5212 | 0.7220 |
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+ | No log | 0.7573 | 78 | 0.5332 | 0.5214 | 0.5332 | 0.7302 |
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+ | No log | 0.7767 | 80 | 0.5601 | 0.5618 | 0.5601 | 0.7484 |
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+ | No log | 0.7961 | 82 | 0.5769 | 0.5551 | 0.5769 | 0.7596 |
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+ | No log | 0.8155 | 84 | 0.5894 | 0.5560 | 0.5894 | 0.7677 |
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+ | No log | 0.8350 | 86 | 0.5840 | 0.5721 | 0.5840 | 0.7642 |
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+ | No log | 0.8544 | 88 | 0.5514 | 0.5598 | 0.5514 | 0.7426 |
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+ | No log | 0.8738 | 90 | 0.4947 | 0.5869 | 0.4947 | 0.7033 |
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+ | No log | 0.8932 | 92 | 0.5546 | 0.5485 | 0.5546 | 0.7447 |
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+ | No log | 0.9126 | 94 | 0.7507 | 0.5026 | 0.7507 | 0.8664 |
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+ | No log | 0.9320 | 96 | 0.7871 | 0.4804 | 0.7871 | 0.8872 |
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+ | No log | 0.9515 | 98 | 0.6626 | 0.5148 | 0.6626 | 0.8140 |
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+ | No log | 0.9709 | 100 | 0.5060 | 0.5515 | 0.5060 | 0.7113 |
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+ | No log | 0.9903 | 102 | 0.4975 | 0.5359 | 0.4975 | 0.7053 |
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+ | No log | 1.0097 | 104 | 0.5151 | 0.5382 | 0.5151 | 0.7177 |
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+ | No log | 1.0291 | 106 | 0.5037 | 0.5549 | 0.5037 | 0.7097 |
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+ | No log | 1.0485 | 108 | 0.4868 | 0.5352 | 0.4868 | 0.6977 |
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+ | No log | 1.0680 | 110 | 0.5307 | 0.5106 | 0.5307 | 0.7285 |
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+ | No log | 1.0874 | 112 | 0.6088 | 0.4733 | 0.6088 | 0.7802 |
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+ | No log | 1.1068 | 114 | 0.6111 | 0.4514 | 0.6111 | 0.7817 |
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+ | No log | 1.1262 | 116 | 0.5144 | 0.5564 | 0.5144 | 0.7172 |
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+ | No log | 1.1456 | 118 | 0.5435 | 0.6125 | 0.5435 | 0.7372 |
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+ | No log | 1.1650 | 120 | 0.5623 | 0.6177 | 0.5623 | 0.7499 |
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+ | No log | 1.1845 | 122 | 0.5214 | 0.6299 | 0.5214 | 0.7221 |
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+ | No log | 1.2039 | 124 | 0.4744 | 0.6525 | 0.4744 | 0.6888 |
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+ | No log | 1.2233 | 126 | 0.5206 | 0.5802 | 0.5206 | 0.7215 |
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+ | No log | 1.2427 | 128 | 0.5934 | 0.5675 | 0.5934 | 0.7704 |
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+ | No log | 1.2621 | 130 | 0.5992 | 0.5547 | 0.5992 | 0.7741 |
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+ | No log | 1.2816 | 132 | 0.5674 | 0.5467 | 0.5674 | 0.7533 |
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+ | No log | 1.3010 | 134 | 0.5073 | 0.5152 | 0.5073 | 0.7122 |
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+ | No log | 1.3204 | 136 | 0.4940 | 0.4931 | 0.4940 | 0.7028 |
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+ | No log | 1.3398 | 138 | 0.4989 | 0.4847 | 0.4989 | 0.7063 |
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+ | No log | 1.3592 | 140 | 0.4956 | 0.4994 | 0.4956 | 0.7040 |
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+ | No log | 1.3786 | 142 | 0.4885 | 0.5125 | 0.4885 | 0.6989 |
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+ | No log | 1.3981 | 144 | 0.5323 | 0.5411 | 0.5323 | 0.7296 |
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+ | No log | 1.4175 | 146 | 0.5005 | 0.5602 | 0.5005 | 0.7075 |
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+ | No log | 1.4369 | 148 | 0.5627 | 0.5741 | 0.5627 | 0.7502 |
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+ | No log | 1.4563 | 150 | 0.5728 | 0.5855 | 0.5728 | 0.7568 |
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+ | No log | 1.4757 | 152 | 0.4657 | 0.5763 | 0.4657 | 0.6825 |
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+ | No log | 1.4951 | 154 | 0.5116 | 0.5453 | 0.5116 | 0.7152 |
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+ | No log | 1.5146 | 156 | 0.5325 | 0.5218 | 0.5325 | 0.7297 |
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+ | No log | 1.5340 | 158 | 0.4948 | 0.5313 | 0.4948 | 0.7034 |
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+ | No log | 1.5534 | 160 | 0.4579 | 0.5544 | 0.4579 | 0.6767 |
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+ | No log | 1.5728 | 162 | 0.4733 | 0.5585 | 0.4733 | 0.6880 |
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+ | No log | 1.5922 | 164 | 0.4838 | 0.5822 | 0.4838 | 0.6956 |
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+ | No log | 1.6117 | 166 | 0.5149 | 0.4992 | 0.5149 | 0.7176 |
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+ | No log | 1.6311 | 168 | 0.5182 | 0.4799 | 0.5182 | 0.7198 |
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+ | No log | 1.6505 | 170 | 0.5268 | 0.4936 | 0.5268 | 0.7258 |
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+ | No log | 1.6699 | 172 | 0.5511 | 0.4595 | 0.5511 | 0.7424 |
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+ | No log | 1.6893 | 174 | 0.5443 | 0.5198 | 0.5443 | 0.7378 |
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+ | No log | 1.7087 | 176 | 0.4901 | 0.5492 | 0.4901 | 0.7000 |
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+ | No log | 1.7282 | 178 | 0.4410 | 0.6320 | 0.4410 | 0.6641 |
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+ | No log | 1.7476 | 180 | 0.4296 | 0.6773 | 0.4296 | 0.6554 |
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+ | No log | 1.7670 | 182 | 0.4177 | 0.6817 | 0.4177 | 0.6463 |
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+ | No log | 1.7864 | 184 | 0.4209 | 0.6689 | 0.4209 | 0.6488 |
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+ | No log | 1.8058 | 186 | 0.4218 | 0.6183 | 0.4218 | 0.6495 |
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+ | No log | 1.8252 | 188 | 0.4300 | 0.5992 | 0.4300 | 0.6557 |
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+ | No log | 1.8447 | 190 | 0.4309 | 0.6071 | 0.4309 | 0.6564 |
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+ | No log | 1.8641 | 192 | 0.4526 | 0.6081 | 0.4526 | 0.6728 |
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+ | No log | 1.8835 | 194 | 0.5053 | 0.5784 | 0.5053 | 0.7108 |
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+ | No log | 1.9029 | 196 | 0.5081 | 0.5747 | 0.5081 | 0.7128 |
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+ | No log | 1.9223 | 198 | 0.4881 | 0.5703 | 0.4881 | 0.6986 |
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+ | No log | 1.9417 | 200 | 0.4569 | 0.6133 | 0.4569 | 0.6759 |
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+ | No log | 1.9612 | 202 | 0.4319 | 0.6142 | 0.4319 | 0.6572 |
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+ | No log | 1.9806 | 204 | 0.6164 | 0.5722 | 0.6164 | 0.7851 |
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+ | No log | 2.0 | 206 | 0.8501 | 0.4543 | 0.8501 | 0.9220 |
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+ | No log | 2.0194 | 208 | 0.7737 | 0.4693 | 0.7737 | 0.8796 |
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+ | No log | 2.0388 | 210 | 0.5631 | 0.5789 | 0.5631 | 0.7504 |
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+ | No log | 2.0583 | 212 | 0.4497 | 0.5340 | 0.4497 | 0.6706 |
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+ | No log | 2.0777 | 214 | 0.5325 | 0.5330 | 0.5325 | 0.7297 |
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+ | No log | 2.0971 | 216 | 0.7568 | 0.5191 | 0.7568 | 0.8700 |
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+ | No log | 2.1165 | 218 | 0.8074 | 0.4815 | 0.8074 | 0.8986 |
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+ | No log | 2.1359 | 220 | 0.6871 | 0.5016 | 0.6871 | 0.8289 |
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+ | No log | 2.1553 | 222 | 0.5349 | 0.4322 | 0.5349 | 0.7314 |
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+ | No log | 2.1748 | 224 | 0.4901 | 0.5621 | 0.4901 | 0.7001 |
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+ | No log | 2.1942 | 226 | 0.5555 | 0.5975 | 0.5555 | 0.7453 |
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+ | No log | 2.2136 | 228 | 0.5969 | 0.6104 | 0.5969 | 0.7726 |
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+ | No log | 2.2330 | 230 | 0.5575 | 0.6056 | 0.5575 | 0.7467 |
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+ | No log | 2.2524 | 232 | 0.4848 | 0.6122 | 0.4848 | 0.6963 |
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+ | No log | 2.2718 | 234 | 0.4750 | 0.6721 | 0.4750 | 0.6892 |
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+ | No log | 2.2913 | 236 | 0.5288 | 0.6571 | 0.5288 | 0.7272 |
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+ | No log | 2.3107 | 238 | 0.5059 | 0.6639 | 0.5059 | 0.7113 |
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+ | No log | 2.3301 | 240 | 0.4517 | 0.6786 | 0.4517 | 0.6721 |
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+ | No log | 2.3495 | 242 | 0.4373 | 0.6496 | 0.4373 | 0.6613 |
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+ | No log | 2.3689 | 244 | 0.4381 | 0.6123 | 0.4381 | 0.6619 |
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+ | No log | 2.3883 | 246 | 0.4418 | 0.6006 | 0.4418 | 0.6647 |
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+ | No log | 2.4078 | 248 | 0.4434 | 0.6168 | 0.4434 | 0.6659 |
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+ | No log | 2.4272 | 250 | 0.4445 | 0.6102 | 0.4445 | 0.6667 |
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+ | No log | 2.4466 | 252 | 0.4774 | 0.6068 | 0.4774 | 0.6909 |
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+ | No log | 2.4660 | 254 | 0.5018 | 0.6286 | 0.5018 | 0.7084 |
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+ | No log | 2.4854 | 256 | 0.4570 | 0.6162 | 0.4570 | 0.6760 |
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+ | No log | 2.5049 | 258 | 0.4713 | 0.6317 | 0.4713 | 0.6865 |
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+ | No log | 2.5243 | 260 | 0.5186 | 0.6254 | 0.5186 | 0.7201 |
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+ | No log | 2.5437 | 262 | 0.4872 | 0.6072 | 0.4872 | 0.6980 |
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+ | No log | 2.5631 | 264 | 0.4487 | 0.5832 | 0.4487 | 0.6699 |
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+ | No log | 2.5825 | 266 | 0.4877 | 0.5988 | 0.4877 | 0.6984 |
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+ | No log | 2.6019 | 268 | 0.4826 | 0.6080 | 0.4826 | 0.6947 |
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+ | No log | 2.6214 | 270 | 0.4545 | 0.6138 | 0.4545 | 0.6741 |
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+ | No log | 2.6408 | 272 | 0.4594 | 0.6375 | 0.4594 | 0.6778 |
188
+ | No log | 2.6602 | 274 | 0.5037 | 0.6361 | 0.5037 | 0.7098 |
189
+ | No log | 2.6796 | 276 | 0.5077 | 0.6251 | 0.5077 | 0.7126 |
190
+ | No log | 2.6990 | 278 | 0.5416 | 0.5944 | 0.5416 | 0.7359 |
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+ | No log | 2.7184 | 280 | 0.5526 | 0.6020 | 0.5526 | 0.7433 |
192
+ | No log | 2.7379 | 282 | 0.6806 | 0.5587 | 0.6806 | 0.8250 |
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+ | No log | 2.7573 | 284 | 0.8355 | 0.4975 | 0.8355 | 0.9141 |
194
+ | No log | 2.7767 | 286 | 0.6697 | 0.5602 | 0.6697 | 0.8183 |
195
+ | No log | 2.7961 | 288 | 0.4729 | 0.5790 | 0.4729 | 0.6877 |
196
+ | No log | 2.8155 | 290 | 0.4770 | 0.5841 | 0.4770 | 0.6906 |
197
+ | No log | 2.8350 | 292 | 0.4682 | 0.5956 | 0.4682 | 0.6842 |
198
+ | No log | 2.8544 | 294 | 0.4358 | 0.6029 | 0.4358 | 0.6602 |
199
+ | No log | 2.8738 | 296 | 0.4725 | 0.6537 | 0.4725 | 0.6874 |
200
+ | No log | 2.8932 | 298 | 0.5135 | 0.6362 | 0.5135 | 0.7166 |
201
+ | No log | 2.9126 | 300 | 0.6390 | 0.5997 | 0.6390 | 0.7994 |
202
+ | No log | 2.9320 | 302 | 0.6028 | 0.5982 | 0.6028 | 0.7764 |
203
+ | No log | 2.9515 | 304 | 0.5170 | 0.6442 | 0.5170 | 0.7190 |
204
+ | No log | 2.9709 | 306 | 0.4497 | 0.6797 | 0.4497 | 0.6706 |
205
+ | No log | 2.9903 | 308 | 0.4756 | 0.6758 | 0.4756 | 0.6896 |
206
+ | No log | 3.0097 | 310 | 0.4850 | 0.6734 | 0.4850 | 0.6964 |
207
+ | No log | 3.0291 | 312 | 0.4332 | 0.7015 | 0.4332 | 0.6581 |
208
+ | No log | 3.0485 | 314 | 0.4305 | 0.6791 | 0.4305 | 0.6562 |
209
+ | No log | 3.0680 | 316 | 0.4532 | 0.6397 | 0.4532 | 0.6732 |
210
+ | No log | 3.0874 | 318 | 0.5196 | 0.6052 | 0.5196 | 0.7209 |
211
+ | No log | 3.1068 | 320 | 0.5167 | 0.6350 | 0.5167 | 0.7188 |
212
+ | No log | 3.1262 | 322 | 0.4659 | 0.6638 | 0.4659 | 0.6825 |
213
+ | No log | 3.1456 | 324 | 0.5404 | 0.6822 | 0.5404 | 0.7351 |
214
+ | No log | 3.1650 | 326 | 0.6646 | 0.6296 | 0.6646 | 0.8152 |
215
+ | No log | 3.1845 | 328 | 0.5680 | 0.6739 | 0.5680 | 0.7536 |
216
+ | No log | 3.2039 | 330 | 0.4731 | 0.6804 | 0.4731 | 0.6878 |
217
+ | No log | 3.2233 | 332 | 0.4573 | 0.6765 | 0.4573 | 0.6762 |
218
+ | No log | 3.2427 | 334 | 0.4476 | 0.6844 | 0.4476 | 0.6690 |
219
+ | No log | 3.2621 | 336 | 0.4533 | 0.6286 | 0.4533 | 0.6733 |
220
+ | No log | 3.2816 | 338 | 0.4637 | 0.6082 | 0.4637 | 0.6809 |
221
+ | No log | 3.3010 | 340 | 0.4517 | 0.6014 | 0.4517 | 0.6721 |
222
+ | No log | 3.3204 | 342 | 0.4326 | 0.6180 | 0.4326 | 0.6577 |
223
+ | No log | 3.3398 | 344 | 0.4315 | 0.6279 | 0.4315 | 0.6569 |
224
+ | No log | 3.3592 | 346 | 0.4458 | 0.6420 | 0.4458 | 0.6677 |
225
+ | No log | 3.3786 | 348 | 0.4690 | 0.6666 | 0.4690 | 0.6848 |
226
+ | No log | 3.3981 | 350 | 0.4806 | 0.6448 | 0.4806 | 0.6932 |
227
+ | No log | 3.4175 | 352 | 0.5170 | 0.6379 | 0.5170 | 0.7190 |
228
+ | No log | 3.4369 | 354 | 0.4806 | 0.6654 | 0.4806 | 0.6933 |
229
+ | No log | 3.4563 | 356 | 0.4732 | 0.6681 | 0.4732 | 0.6879 |
230
+ | No log | 3.4757 | 358 | 0.5117 | 0.6667 | 0.5117 | 0.7153 |
231
+ | No log | 3.4951 | 360 | 0.5516 | 0.6373 | 0.5516 | 0.7427 |
232
+ | No log | 3.5146 | 362 | 0.5029 | 0.6785 | 0.5029 | 0.7092 |
233
+ | No log | 3.5340 | 364 | 0.4840 | 0.6704 | 0.4840 | 0.6957 |
234
+ | No log | 3.5534 | 366 | 0.4811 | 0.6632 | 0.4811 | 0.6936 |
235
+ | No log | 3.5728 | 368 | 0.4552 | 0.6754 | 0.4552 | 0.6747 |
236
+ | No log | 3.5922 | 370 | 0.4926 | 0.6597 | 0.4926 | 0.7019 |
237
+ | No log | 3.6117 | 372 | 0.5373 | 0.6201 | 0.5373 | 0.7330 |
238
+ | No log | 3.6311 | 374 | 0.4582 | 0.6494 | 0.4582 | 0.6769 |
239
+ | No log | 3.6505 | 376 | 0.4345 | 0.6266 | 0.4345 | 0.6591 |
240
+ | No log | 3.6699 | 378 | 0.4514 | 0.6481 | 0.4514 | 0.6718 |
241
+ | No log | 3.6893 | 380 | 0.4259 | 0.6555 | 0.4259 | 0.6526 |
242
+ | No log | 3.7087 | 382 | 0.4435 | 0.6324 | 0.4435 | 0.6659 |
243
+ | No log | 3.7282 | 384 | 0.4980 | 0.6005 | 0.4980 | 0.7057 |
244
+ | No log | 3.7476 | 386 | 0.5246 | 0.5781 | 0.5246 | 0.7243 |
245
+ | No log | 3.7670 | 388 | 0.5137 | 0.6005 | 0.5137 | 0.7167 |
246
+ | No log | 3.7864 | 390 | 0.4879 | 0.6187 | 0.4879 | 0.6985 |
247
+ | No log | 3.8058 | 392 | 0.4636 | 0.6286 | 0.4636 | 0.6809 |
248
+ | No log | 3.8252 | 394 | 0.5034 | 0.6423 | 0.5034 | 0.7095 |
249
+ | No log | 3.8447 | 396 | 0.4766 | 0.6808 | 0.4766 | 0.6903 |
250
+ | No log | 3.8641 | 398 | 0.4831 | 0.6839 | 0.4831 | 0.6950 |
251
+ | No log | 3.8835 | 400 | 0.4835 | 0.6667 | 0.4835 | 0.6954 |
252
+ | No log | 3.9029 | 402 | 0.5050 | 0.6721 | 0.5050 | 0.7106 |
253
+ | No log | 3.9223 | 404 | 0.4925 | 0.6705 | 0.4925 | 0.7018 |
254
+ | No log | 3.9417 | 406 | 0.4879 | 0.6676 | 0.4879 | 0.6985 |
255
+ | No log | 3.9612 | 408 | 0.4908 | 0.6822 | 0.4908 | 0.7006 |
256
+ | No log | 3.9806 | 410 | 0.5374 | 0.6488 | 0.5374 | 0.7331 |
257
+ | No log | 4.0 | 412 | 0.5310 | 0.6501 | 0.5310 | 0.7287 |
258
+ | No log | 4.0194 | 414 | 0.4549 | 0.6461 | 0.4549 | 0.6745 |
259
+ | No log | 4.0388 | 416 | 0.4468 | 0.6267 | 0.4468 | 0.6684 |
260
+ | No log | 4.0583 | 418 | 0.4430 | 0.5915 | 0.4430 | 0.6655 |
261
+ | No log | 4.0777 | 420 | 0.4459 | 0.5651 | 0.4459 | 0.6677 |
262
+ | No log | 4.0971 | 422 | 0.4541 | 0.5481 | 0.4541 | 0.6739 |
263
+ | No log | 4.1165 | 424 | 0.4526 | 0.5602 | 0.4526 | 0.6728 |
264
+ | No log | 4.1359 | 426 | 0.4722 | 0.5774 | 0.4722 | 0.6872 |
265
+ | No log | 4.1553 | 428 | 0.6988 | 0.5372 | 0.6988 | 0.8359 |
266
+ | No log | 4.1748 | 430 | 0.8622 | 0.4653 | 0.8622 | 0.9285 |
267
+ | No log | 4.1942 | 432 | 0.7340 | 0.5406 | 0.7340 | 0.8567 |
268
+ | No log | 4.2136 | 434 | 0.4878 | 0.6419 | 0.4878 | 0.6985 |
269
+ | No log | 4.2330 | 436 | 0.4610 | 0.6468 | 0.4610 | 0.6790 |
270
+ | No log | 4.2524 | 438 | 0.4632 | 0.6495 | 0.4632 | 0.6806 |
271
+ | No log | 4.2718 | 440 | 0.4603 | 0.6626 | 0.4603 | 0.6785 |
272
+ | No log | 4.2913 | 442 | 0.5304 | 0.6344 | 0.5304 | 0.7283 |
273
+ | No log | 4.3107 | 444 | 0.5418 | 0.6286 | 0.5418 | 0.7361 |
274
+ | No log | 4.3301 | 446 | 0.5305 | 0.6368 | 0.5305 | 0.7284 |
275
+ | No log | 4.3495 | 448 | 0.4593 | 0.6236 | 0.4593 | 0.6777 |
276
+ | No log | 4.3689 | 450 | 0.4555 | 0.6377 | 0.4555 | 0.6749 |
277
+ | No log | 4.3883 | 452 | 0.5180 | 0.6038 | 0.5180 | 0.7197 |
278
+ | No log | 4.4078 | 454 | 0.4978 | 0.6064 | 0.4978 | 0.7055 |
279
+ | No log | 4.4272 | 456 | 0.4560 | 0.5912 | 0.4560 | 0.6753 |
280
+ | No log | 4.4466 | 458 | 0.4670 | 0.6098 | 0.4670 | 0.6833 |
281
+ | No log | 4.4660 | 460 | 0.6078 | 0.5679 | 0.6078 | 0.7796 |
282
+ | No log | 4.4854 | 462 | 0.6994 | 0.5322 | 0.6994 | 0.8363 |
283
+ | No log | 4.5049 | 464 | 0.6315 | 0.5577 | 0.6315 | 0.7946 |
284
+ | No log | 4.5243 | 466 | 0.4563 | 0.6618 | 0.4563 | 0.6755 |
285
+ | No log | 4.5437 | 468 | 0.5292 | 0.6129 | 0.5292 | 0.7274 |
286
+ | No log | 4.5631 | 470 | 0.5866 | 0.6131 | 0.5866 | 0.7659 |
287
+ | No log | 4.5825 | 472 | 0.5202 | 0.6108 | 0.5202 | 0.7212 |
288
+ | No log | 4.6019 | 474 | 0.4445 | 0.6544 | 0.4445 | 0.6667 |
289
+ | No log | 4.6214 | 476 | 0.5006 | 0.6525 | 0.5006 | 0.7075 |
290
+ | No log | 4.6408 | 478 | 0.6743 | 0.5945 | 0.6743 | 0.8212 |
291
+ | No log | 4.6602 | 480 | 0.6505 | 0.6253 | 0.6505 | 0.8065 |
292
+ | No log | 4.6796 | 482 | 0.5127 | 0.6594 | 0.5127 | 0.7160 |
293
+ | No log | 4.6990 | 484 | 0.4683 | 0.6892 | 0.4683 | 0.6843 |
294
+ | No log | 4.7184 | 486 | 0.4658 | 0.6860 | 0.4658 | 0.6825 |
295
+ | No log | 4.7379 | 488 | 0.4719 | 0.7040 | 0.4719 | 0.6869 |
296
+ | No log | 4.7573 | 490 | 0.4956 | 0.6766 | 0.4956 | 0.7040 |
297
+ | No log | 4.7767 | 492 | 0.4558 | 0.6952 | 0.4558 | 0.6751 |
298
+ | No log | 4.7961 | 494 | 0.4468 | 0.6675 | 0.4468 | 0.6684 |
299
+ | No log | 4.8155 | 496 | 0.4420 | 0.6489 | 0.4420 | 0.6648 |
300
+ | No log | 4.8350 | 498 | 0.4432 | 0.6464 | 0.4432 | 0.6657 |
301
+ | 0.5312 | 4.8544 | 500 | 0.4697 | 0.6813 | 0.4697 | 0.6854 |
302
+ | 0.5312 | 4.8738 | 502 | 0.4974 | 0.6776 | 0.4974 | 0.7053 |
303
+ | 0.5312 | 4.8932 | 504 | 0.4744 | 0.6632 | 0.4744 | 0.6888 |
304
+ | 0.5312 | 4.9126 | 506 | 0.4616 | 0.6845 | 0.4616 | 0.6794 |
305
+ | 0.5312 | 4.9320 | 508 | 0.6031 | 0.6234 | 0.6031 | 0.7766 |
306
+ | 0.5312 | 4.9515 | 510 | 0.7222 | 0.6037 | 0.7222 | 0.8498 |
307
+ | 0.5312 | 4.9709 | 512 | 0.5891 | 0.6259 | 0.5891 | 0.7676 |
308
+ | 0.5312 | 4.9903 | 514 | 0.4215 | 0.6631 | 0.4215 | 0.6493 |
309
+ | 0.5312 | 5.0097 | 516 | 0.5050 | 0.6388 | 0.5050 | 0.7106 |
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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