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ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k7_task5_organization

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  1. README.md +315 -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: ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k6_task5_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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+ # ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run3_AugV5_k6_task5_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: 0.7771
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+ - Qwk: 0.5052
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+ - Mse: 0.7771
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+ - Rmse: 0.8815
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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 | 0.0667 | 2 | 4.0072 | -0.0132 | 4.0072 | 2.0018 |
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+ | No log | 0.1333 | 4 | 2.1310 | 0.0074 | 2.1310 | 1.4598 |
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+ | No log | 0.2 | 6 | 1.8999 | 0.0032 | 1.8999 | 1.3784 |
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+ | No log | 0.2667 | 8 | 1.3024 | 0.0439 | 1.3024 | 1.1412 |
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+ | No log | 0.3333 | 10 | 1.1089 | 0.1713 | 1.1089 | 1.0531 |
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+ | No log | 0.4 | 12 | 1.2779 | 0.1224 | 1.2779 | 1.1304 |
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+ | No log | 0.4667 | 14 | 1.2547 | 0.2367 | 1.2547 | 1.1201 |
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+ | No log | 0.5333 | 16 | 0.9824 | 0.2408 | 0.9824 | 0.9912 |
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+ | No log | 0.6 | 18 | 1.0418 | 0.1292 | 1.0418 | 1.0207 |
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+ | No log | 0.6667 | 20 | 1.0354 | 0.1447 | 1.0354 | 1.0175 |
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+ | No log | 0.7333 | 22 | 0.9892 | 0.3038 | 0.9892 | 0.9946 |
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+ | No log | 0.8 | 24 | 1.1897 | 0.2964 | 1.1897 | 1.0907 |
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+ | No log | 0.8667 | 26 | 1.6411 | 0.1156 | 1.6411 | 1.2810 |
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+ | No log | 0.9333 | 28 | 1.6242 | 0.1156 | 1.6242 | 1.2744 |
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+ | No log | 1.0 | 30 | 1.3600 | 0.1905 | 1.3600 | 1.1662 |
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+ | No log | 1.0667 | 32 | 1.0978 | 0.2567 | 1.0978 | 1.0477 |
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+ | No log | 1.1333 | 34 | 0.9757 | 0.1891 | 0.9757 | 0.9878 |
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+ | No log | 1.2 | 36 | 0.9673 | 0.3710 | 0.9673 | 0.9835 |
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+ | No log | 1.2667 | 38 | 1.0202 | 0.2604 | 1.0202 | 1.0101 |
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+ | No log | 1.3333 | 40 | 1.5034 | 0.1714 | 1.5034 | 1.2261 |
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+ | No log | 1.4 | 42 | 1.3863 | 0.1744 | 1.3863 | 1.1774 |
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+ | No log | 1.4667 | 44 | 0.9857 | 0.3402 | 0.9857 | 0.9928 |
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+ | No log | 1.5333 | 46 | 0.9889 | 0.4102 | 0.9889 | 0.9944 |
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+ | No log | 1.6 | 48 | 0.9665 | 0.2499 | 0.9665 | 0.9831 |
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+ | No log | 1.6667 | 50 | 0.9041 | 0.3596 | 0.9041 | 0.9509 |
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+ | No log | 1.7333 | 52 | 1.0141 | 0.4273 | 1.0141 | 1.0070 |
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+ | No log | 1.8 | 54 | 1.2942 | 0.1977 | 1.2942 | 1.1376 |
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+ | No log | 1.8667 | 56 | 1.3479 | 0.2301 | 1.3479 | 1.1610 |
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+ | No log | 1.9333 | 58 | 1.1701 | 0.2926 | 1.1701 | 1.0817 |
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+ | No log | 2.0 | 60 | 0.9621 | 0.2690 | 0.9621 | 0.9809 |
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+ | No log | 2.0667 | 62 | 0.9350 | 0.2887 | 0.9350 | 0.9669 |
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+ | No log | 2.1333 | 64 | 0.9466 | 0.3474 | 0.9466 | 0.9729 |
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+ | No log | 2.2 | 66 | 0.9475 | 0.3729 | 0.9475 | 0.9734 |
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+ | No log | 2.2667 | 68 | 1.0218 | 0.3357 | 1.0218 | 1.0108 |
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+ | No log | 2.3333 | 70 | 0.9693 | 0.3065 | 0.9693 | 0.9845 |
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+ | No log | 2.4 | 72 | 0.9350 | 0.3537 | 0.9350 | 0.9669 |
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+ | No log | 2.4667 | 74 | 0.8746 | 0.3428 | 0.8746 | 0.9352 |
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+ | No log | 2.5333 | 76 | 0.8736 | 0.3737 | 0.8736 | 0.9346 |
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+ | No log | 2.6 | 78 | 0.8303 | 0.3757 | 0.8303 | 0.9112 |
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+ | No log | 2.6667 | 80 | 0.8118 | 0.4461 | 0.8118 | 0.9010 |
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+ | No log | 2.7333 | 82 | 0.7725 | 0.4175 | 0.7725 | 0.8789 |
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+ | No log | 2.8 | 84 | 0.8094 | 0.5197 | 0.8094 | 0.8997 |
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+ | No log | 2.8667 | 86 | 0.8621 | 0.4382 | 0.8621 | 0.9285 |
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+ | No log | 2.9333 | 88 | 0.9372 | 0.4449 | 0.9372 | 0.9681 |
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+ | No log | 3.0 | 90 | 0.9476 | 0.4869 | 0.9476 | 0.9735 |
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+ | No log | 3.0667 | 92 | 0.9612 | 0.4940 | 0.9612 | 0.9804 |
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+ | No log | 3.1333 | 94 | 0.9481 | 0.5222 | 0.9481 | 0.9737 |
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+ | No log | 3.2 | 96 | 0.8570 | 0.4843 | 0.8570 | 0.9257 |
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+ | No log | 3.2667 | 98 | 0.8256 | 0.4789 | 0.8256 | 0.9086 |
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+ | No log | 3.3333 | 100 | 0.8526 | 0.4763 | 0.8526 | 0.9234 |
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+ | No log | 3.4 | 102 | 0.9608 | 0.4321 | 0.9608 | 0.9802 |
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+ | No log | 3.4667 | 104 | 1.1134 | 0.4705 | 1.1134 | 1.0552 |
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+ | No log | 3.5333 | 106 | 1.1099 | 0.4705 | 1.1099 | 1.0535 |
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+ | No log | 3.6 | 108 | 0.9630 | 0.4826 | 0.9630 | 0.9813 |
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+ | No log | 3.6667 | 110 | 0.9101 | 0.4603 | 0.9101 | 0.9540 |
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+ | No log | 3.7333 | 112 | 0.8856 | 0.4617 | 0.8856 | 0.9411 |
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+ | No log | 3.8 | 114 | 0.8918 | 0.4617 | 0.8918 | 0.9443 |
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+ | No log | 3.8667 | 116 | 0.8866 | 0.4800 | 0.8866 | 0.9416 |
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+ | No log | 3.9333 | 118 | 0.9131 | 0.4619 | 0.9131 | 0.9555 |
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+ | No log | 4.0 | 120 | 0.9182 | 0.5314 | 0.9182 | 0.9582 |
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+ | No log | 4.0667 | 122 | 0.8929 | 0.5021 | 0.8929 | 0.9449 |
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+ | No log | 4.1333 | 124 | 0.8674 | 0.4816 | 0.8674 | 0.9314 |
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+ | No log | 4.2 | 126 | 0.9167 | 0.4772 | 0.9167 | 0.9574 |
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+ | No log | 4.2667 | 128 | 1.0201 | 0.4871 | 1.0201 | 1.0100 |
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+ | No log | 4.3333 | 130 | 0.9652 | 0.5142 | 0.9652 | 0.9824 |
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+ | No log | 4.4 | 132 | 0.8926 | 0.4191 | 0.8926 | 0.9448 |
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+ | No log | 4.4667 | 134 | 0.9010 | 0.5279 | 0.9010 | 0.9492 |
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+ | No log | 4.5333 | 136 | 0.9018 | 0.5052 | 0.9018 | 0.9496 |
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+ | No log | 4.6 | 138 | 0.8358 | 0.5081 | 0.8358 | 0.9142 |
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+ | No log | 4.6667 | 140 | 0.8175 | 0.4002 | 0.8175 | 0.9042 |
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+ | No log | 4.7333 | 142 | 0.8825 | 0.3926 | 0.8825 | 0.9394 |
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+ | No log | 4.8 | 144 | 0.9053 | 0.4434 | 0.9053 | 0.9515 |
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+ | No log | 4.8667 | 146 | 0.8111 | 0.4277 | 0.8111 | 0.9006 |
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+ | No log | 4.9333 | 148 | 0.9180 | 0.5679 | 0.9180 | 0.9581 |
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+ | No log | 5.0 | 150 | 1.0261 | 0.4171 | 1.0261 | 1.0130 |
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+ | No log | 5.0667 | 152 | 0.9781 | 0.4460 | 0.9781 | 0.9890 |
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+ | No log | 5.1333 | 154 | 0.9087 | 0.3625 | 0.9087 | 0.9533 |
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+ | No log | 5.2 | 156 | 0.8872 | 0.5060 | 0.8872 | 0.9419 |
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+ | No log | 5.2667 | 158 | 0.9255 | 0.4593 | 0.9255 | 0.9620 |
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+ | No log | 5.3333 | 160 | 0.9522 | 0.4830 | 0.9522 | 0.9758 |
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+ | No log | 5.4 | 162 | 0.9093 | 0.5462 | 0.9093 | 0.9536 |
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+ | No log | 5.4667 | 164 | 0.9427 | 0.5455 | 0.9427 | 0.9709 |
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+ | No log | 5.5333 | 166 | 1.0821 | 0.4444 | 1.0821 | 1.0402 |
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+ | No log | 5.6 | 168 | 1.0449 | 0.4526 | 1.0449 | 1.0222 |
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+ | No log | 5.6667 | 170 | 0.8840 | 0.5077 | 0.8840 | 0.9402 |
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+ | No log | 5.7333 | 172 | 0.8821 | 0.4772 | 0.8821 | 0.9392 |
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+ | No log | 5.8 | 174 | 0.9690 | 0.4550 | 0.9690 | 0.9844 |
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+ | No log | 5.8667 | 176 | 0.9464 | 0.4737 | 0.9464 | 0.9728 |
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+ | No log | 5.9333 | 178 | 0.8251 | 0.5176 | 0.8251 | 0.9084 |
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+ | No log | 6.0 | 180 | 0.7776 | 0.4907 | 0.7776 | 0.8818 |
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+ | No log | 6.0667 | 182 | 0.7734 | 0.4411 | 0.7734 | 0.8794 |
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+ | No log | 6.1333 | 184 | 0.7908 | 0.3878 | 0.7908 | 0.8893 |
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+ | No log | 6.2 | 186 | 0.8204 | 0.4313 | 0.8204 | 0.9058 |
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+ | No log | 6.2667 | 188 | 0.8706 | 0.4915 | 0.8706 | 0.9331 |
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+ | No log | 6.3333 | 190 | 0.9461 | 0.4882 | 0.9461 | 0.9727 |
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+ | No log | 6.4 | 192 | 0.9556 | 0.5192 | 0.9556 | 0.9775 |
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+ | No log | 6.4667 | 194 | 0.8809 | 0.5324 | 0.8809 | 0.9386 |
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+ | No log | 6.5333 | 196 | 0.8933 | 0.5361 | 0.8933 | 0.9452 |
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+ | No log | 6.6 | 198 | 0.9785 | 0.4914 | 0.9785 | 0.9892 |
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+ | No log | 6.6667 | 200 | 0.9959 | 0.4681 | 0.9959 | 0.9979 |
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+ | No log | 6.7333 | 202 | 0.8978 | 0.4802 | 0.8978 | 0.9475 |
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+ | No log | 6.8 | 204 | 0.7997 | 0.5390 | 0.7997 | 0.8943 |
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+ | No log | 6.8667 | 206 | 0.7511 | 0.5569 | 0.7511 | 0.8666 |
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+ | No log | 6.9333 | 208 | 0.7666 | 0.5459 | 0.7666 | 0.8756 |
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+ | No log | 7.0 | 210 | 0.8004 | 0.4898 | 0.8004 | 0.8947 |
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+ | No log | 7.0667 | 212 | 0.8039 | 0.4894 | 0.8039 | 0.8966 |
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+ | No log | 7.1333 | 214 | 0.8107 | 0.5069 | 0.8107 | 0.9004 |
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+ | No log | 7.2 | 216 | 0.8730 | 0.5352 | 0.8730 | 0.9344 |
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+ | No log | 7.2667 | 218 | 0.8497 | 0.5548 | 0.8497 | 0.9218 |
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+ | No log | 7.3333 | 220 | 0.8289 | 0.4989 | 0.8289 | 0.9105 |
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+ | No log | 7.4 | 222 | 0.8762 | 0.4772 | 0.8762 | 0.9360 |
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+ | No log | 7.4667 | 224 | 0.9286 | 0.4973 | 0.9286 | 0.9636 |
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+ | No log | 7.5333 | 226 | 0.9739 | 0.5517 | 0.9739 | 0.9869 |
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+ | No log | 7.6 | 228 | 0.9700 | 0.4720 | 0.9700 | 0.9849 |
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+ | No log | 7.6667 | 230 | 0.9163 | 0.4382 | 0.9163 | 0.9572 |
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+ | No log | 7.7333 | 232 | 0.8901 | 0.3661 | 0.8901 | 0.9434 |
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+ | No log | 7.8 | 234 | 0.9061 | 0.3324 | 0.9061 | 0.9519 |
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+ | No log | 7.8667 | 236 | 0.9356 | 0.4384 | 0.9356 | 0.9673 |
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+ | No log | 7.9333 | 238 | 0.9550 | 0.4945 | 0.9550 | 0.9773 |
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+ | No log | 8.0 | 240 | 0.9602 | 0.4843 | 0.9602 | 0.9799 |
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+ | No log | 8.0667 | 242 | 0.9636 | 0.4837 | 0.9636 | 0.9816 |
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+ | No log | 8.1333 | 244 | 0.9216 | 0.5147 | 0.9216 | 0.9600 |
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+ | No log | 8.2 | 246 | 0.8658 | 0.4826 | 0.8658 | 0.9305 |
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+ | No log | 8.2667 | 248 | 0.8607 | 0.5155 | 0.8607 | 0.9277 |
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+ | No log | 8.3333 | 250 | 0.8723 | 0.4886 | 0.8723 | 0.9340 |
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+ | No log | 8.4 | 252 | 0.9737 | 0.5106 | 0.9737 | 0.9868 |
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+ | No log | 8.4667 | 254 | 0.9564 | 0.5211 | 0.9564 | 0.9780 |
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+ | No log | 8.5333 | 256 | 0.8665 | 0.4454 | 0.8665 | 0.9308 |
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+ | No log | 8.6 | 258 | 0.8267 | 0.4920 | 0.8267 | 0.9092 |
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+ | No log | 8.6667 | 260 | 0.8084 | 0.4676 | 0.8084 | 0.8991 |
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+ | No log | 8.7333 | 262 | 0.8270 | 0.4632 | 0.8270 | 0.9094 |
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+ | No log | 8.8 | 264 | 0.8022 | 0.4519 | 0.8022 | 0.8957 |
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+ | No log | 8.8667 | 266 | 0.7854 | 0.3933 | 0.7854 | 0.8862 |
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+ | No log | 8.9333 | 268 | 0.8344 | 0.4539 | 0.8344 | 0.9135 |
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+ | No log | 9.0 | 270 | 0.9313 | 0.5370 | 0.9313 | 0.9650 |
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+ | No log | 9.0667 | 272 | 0.9191 | 0.4937 | 0.9191 | 0.9587 |
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+ | No log | 9.1333 | 274 | 0.8593 | 0.4985 | 0.8593 | 0.9270 |
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+ | No log | 9.2 | 276 | 0.8489 | 0.4604 | 0.8489 | 0.9214 |
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+ | No log | 9.2667 | 278 | 0.8676 | 0.4344 | 0.8676 | 0.9314 |
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+ | No log | 9.3333 | 280 | 0.8624 | 0.4810 | 0.8624 | 0.9287 |
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+ | No log | 9.4 | 282 | 0.8560 | 0.4344 | 0.8560 | 0.9252 |
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+ | No log | 9.4667 | 284 | 0.8625 | 0.5002 | 0.8625 | 0.9287 |
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+ | No log | 9.5333 | 286 | 0.8677 | 0.5203 | 0.8677 | 0.9315 |
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+ | No log | 9.6 | 288 | 0.9260 | 0.5257 | 0.9260 | 0.9623 |
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+ | No log | 9.6667 | 290 | 0.9152 | 0.5173 | 0.9152 | 0.9566 |
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+ | No log | 9.7333 | 292 | 0.9084 | 0.4885 | 0.9084 | 0.9531 |
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+ | No log | 9.8 | 294 | 0.8771 | 0.4676 | 0.8771 | 0.9365 |
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+ | No log | 9.8667 | 296 | 0.8517 | 0.4662 | 0.8517 | 0.9229 |
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+ | No log | 9.9333 | 298 | 0.7946 | 0.4550 | 0.7946 | 0.8914 |
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+ | No log | 10.0 | 300 | 0.7556 | 0.4014 | 0.7556 | 0.8693 |
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+ | No log | 10.0667 | 302 | 0.7532 | 0.4760 | 0.7532 | 0.8679 |
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+ | No log | 10.1333 | 304 | 0.7869 | 0.4503 | 0.7869 | 0.8871 |
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+ | No log | 10.2 | 306 | 0.8478 | 0.4708 | 0.8478 | 0.9207 |
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+ | No log | 10.2667 | 308 | 0.8605 | 0.4820 | 0.8605 | 0.9276 |
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+ | No log | 10.3333 | 310 | 0.8096 | 0.5586 | 0.8096 | 0.8998 |
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+ | No log | 10.4 | 312 | 0.7919 | 0.5892 | 0.7919 | 0.8899 |
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+ | No log | 10.4667 | 314 | 0.7744 | 0.5376 | 0.7744 | 0.8800 |
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+ | No log | 10.5333 | 316 | 0.8830 | 0.5029 | 0.8830 | 0.9397 |
210
+ | No log | 10.6 | 318 | 0.8649 | 0.4601 | 0.8649 | 0.9300 |
211
+ | No log | 10.6667 | 320 | 0.7852 | 0.5060 | 0.7852 | 0.8861 |
212
+ | No log | 10.7333 | 322 | 0.8292 | 0.5407 | 0.8292 | 0.9106 |
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+ | No log | 10.8 | 324 | 0.8692 | 0.5211 | 0.8692 | 0.9323 |
214
+ | No log | 10.8667 | 326 | 0.8194 | 0.5390 | 0.8194 | 0.9052 |
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+ | No log | 10.9333 | 328 | 0.7888 | 0.5742 | 0.7888 | 0.8881 |
216
+ | No log | 11.0 | 330 | 0.7891 | 0.5361 | 0.7891 | 0.8883 |
217
+ | No log | 11.0667 | 332 | 0.7998 | 0.5157 | 0.7998 | 0.8943 |
218
+ | No log | 11.1333 | 334 | 0.7807 | 0.6077 | 0.7807 | 0.8836 |
219
+ | No log | 11.2 | 336 | 0.7887 | 0.6471 | 0.7887 | 0.8881 |
220
+ | No log | 11.2667 | 338 | 0.9061 | 0.5496 | 0.9061 | 0.9519 |
221
+ | No log | 11.3333 | 340 | 0.9297 | 0.5482 | 0.9297 | 0.9642 |
222
+ | No log | 11.4 | 342 | 0.8177 | 0.5788 | 0.8177 | 0.9043 |
223
+ | No log | 11.4667 | 344 | 0.7194 | 0.6148 | 0.7194 | 0.8482 |
224
+ | No log | 11.5333 | 346 | 0.7291 | 0.6254 | 0.7291 | 0.8539 |
225
+ | No log | 11.6 | 348 | 0.7180 | 0.5959 | 0.7180 | 0.8473 |
226
+ | No log | 11.6667 | 350 | 0.7444 | 0.5081 | 0.7444 | 0.8628 |
227
+ | No log | 11.7333 | 352 | 0.7704 | 0.4832 | 0.7704 | 0.8777 |
228
+ | No log | 11.8 | 354 | 0.7521 | 0.4843 | 0.7521 | 0.8673 |
229
+ | No log | 11.8667 | 356 | 0.7541 | 0.4843 | 0.7541 | 0.8684 |
230
+ | No log | 11.9333 | 358 | 0.7664 | 0.5070 | 0.7664 | 0.8754 |
231
+ | No log | 12.0 | 360 | 0.7748 | 0.5489 | 0.7748 | 0.8802 |
232
+ | No log | 12.0667 | 362 | 0.7789 | 0.5848 | 0.7789 | 0.8826 |
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+ | No log | 12.1333 | 364 | 0.7696 | 0.6707 | 0.7696 | 0.8773 |
234
+ | No log | 12.2 | 366 | 0.7741 | 0.6134 | 0.7741 | 0.8799 |
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+ | No log | 12.2667 | 368 | 0.7809 | 0.6222 | 0.7809 | 0.8837 |
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+ | No log | 12.3333 | 370 | 0.8021 | 0.6361 | 0.8021 | 0.8956 |
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+ | No log | 12.4 | 372 | 0.7802 | 0.5941 | 0.7802 | 0.8833 |
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+ | No log | 12.4667 | 374 | 0.7636 | 0.5827 | 0.7636 | 0.8738 |
239
+ | No log | 12.5333 | 376 | 0.7605 | 0.5840 | 0.7605 | 0.8721 |
240
+ | No log | 12.6 | 378 | 0.7604 | 0.5528 | 0.7604 | 0.8720 |
241
+ | No log | 12.6667 | 380 | 0.7427 | 0.5443 | 0.7427 | 0.8618 |
242
+ | No log | 12.7333 | 382 | 0.7240 | 0.5551 | 0.7240 | 0.8509 |
243
+ | No log | 12.8 | 384 | 0.7225 | 0.5447 | 0.7225 | 0.8500 |
244
+ | No log | 12.8667 | 386 | 0.7269 | 0.5902 | 0.7269 | 0.8526 |
245
+ | No log | 12.9333 | 388 | 0.8105 | 0.5921 | 0.8105 | 0.9003 |
246
+ | No log | 13.0 | 390 | 0.8666 | 0.5698 | 0.8666 | 0.9309 |
247
+ | No log | 13.0667 | 392 | 0.7806 | 0.6133 | 0.7806 | 0.8835 |
248
+ | No log | 13.1333 | 394 | 0.7337 | 0.6298 | 0.7337 | 0.8566 |
249
+ | No log | 13.2 | 396 | 0.7329 | 0.5773 | 0.7329 | 0.8561 |
250
+ | No log | 13.2667 | 398 | 0.7455 | 0.5176 | 0.7455 | 0.8634 |
251
+ | No log | 13.3333 | 400 | 0.7419 | 0.5060 | 0.7419 | 0.8613 |
252
+ | No log | 13.4 | 402 | 0.7542 | 0.5328 | 0.7542 | 0.8685 |
253
+ | No log | 13.4667 | 404 | 0.8119 | 0.5543 | 0.8119 | 0.9010 |
254
+ | No log | 13.5333 | 406 | 0.8766 | 0.5220 | 0.8766 | 0.9363 |
255
+ | No log | 13.6 | 408 | 0.8728 | 0.5220 | 0.8728 | 0.9343 |
256
+ | No log | 13.6667 | 410 | 0.7713 | 0.5291 | 0.7713 | 0.8782 |
257
+ | No log | 13.7333 | 412 | 0.7293 | 0.4691 | 0.7293 | 0.8540 |
258
+ | No log | 13.8 | 414 | 0.7251 | 0.5501 | 0.7251 | 0.8515 |
259
+ | No log | 13.8667 | 416 | 0.7074 | 0.5808 | 0.7074 | 0.8410 |
260
+ | No log | 13.9333 | 418 | 0.7648 | 0.6047 | 0.7648 | 0.8745 |
261
+ | No log | 14.0 | 420 | 0.8861 | 0.5372 | 0.8861 | 0.9413 |
262
+ | No log | 14.0667 | 422 | 0.9077 | 0.5372 | 0.9077 | 0.9527 |
263
+ | No log | 14.1333 | 424 | 0.8419 | 0.5581 | 0.8419 | 0.9175 |
264
+ | No log | 14.2 | 426 | 0.7290 | 0.6620 | 0.7290 | 0.8538 |
265
+ | No log | 14.2667 | 428 | 0.6739 | 0.6103 | 0.6739 | 0.8209 |
266
+ | No log | 14.3333 | 430 | 0.6703 | 0.5931 | 0.6703 | 0.8187 |
267
+ | No log | 14.4 | 432 | 0.6758 | 0.6301 | 0.6758 | 0.8221 |
268
+ | No log | 14.4667 | 434 | 0.6758 | 0.6468 | 0.6758 | 0.8221 |
269
+ | No log | 14.5333 | 436 | 0.6679 | 0.6280 | 0.6679 | 0.8172 |
270
+ | No log | 14.6 | 438 | 0.6762 | 0.5935 | 0.6762 | 0.8223 |
271
+ | No log | 14.6667 | 440 | 0.6892 | 0.6111 | 0.6892 | 0.8302 |
272
+ | No log | 14.7333 | 442 | 0.7173 | 0.6128 | 0.7173 | 0.8469 |
273
+ | No log | 14.8 | 444 | 0.7031 | 0.5329 | 0.7031 | 0.8385 |
274
+ | No log | 14.8667 | 446 | 0.6973 | 0.5357 | 0.6973 | 0.8351 |
275
+ | No log | 14.9333 | 448 | 0.7033 | 0.5703 | 0.7033 | 0.8386 |
276
+ | No log | 15.0 | 450 | 0.7191 | 0.5703 | 0.7191 | 0.8480 |
277
+ | No log | 15.0667 | 452 | 0.7639 | 0.6263 | 0.7639 | 0.8740 |
278
+ | No log | 15.1333 | 454 | 0.7820 | 0.6335 | 0.7820 | 0.8843 |
279
+ | No log | 15.2 | 456 | 0.7550 | 0.6289 | 0.7550 | 0.8689 |
280
+ | No log | 15.2667 | 458 | 0.7565 | 0.5359 | 0.7565 | 0.8698 |
281
+ | No log | 15.3333 | 460 | 0.7499 | 0.5784 | 0.7499 | 0.8659 |
282
+ | No log | 15.4 | 462 | 0.7450 | 0.5275 | 0.7450 | 0.8631 |
283
+ | No log | 15.4667 | 464 | 0.7456 | 0.5703 | 0.7456 | 0.8635 |
284
+ | No log | 15.5333 | 466 | 0.7391 | 0.5366 | 0.7391 | 0.8597 |
285
+ | No log | 15.6 | 468 | 0.7370 | 0.4772 | 0.7370 | 0.8585 |
286
+ | No log | 15.6667 | 470 | 0.7295 | 0.4883 | 0.7295 | 0.8541 |
287
+ | No log | 15.7333 | 472 | 0.7120 | 0.5146 | 0.7120 | 0.8438 |
288
+ | No log | 15.8 | 474 | 0.7100 | 0.5562 | 0.7100 | 0.8426 |
289
+ | No log | 15.8667 | 476 | 0.7324 | 0.6206 | 0.7324 | 0.8558 |
290
+ | No log | 15.9333 | 478 | 0.7804 | 0.6225 | 0.7804 | 0.8834 |
291
+ | No log | 16.0 | 480 | 0.7761 | 0.6225 | 0.7761 | 0.8810 |
292
+ | No log | 16.0667 | 482 | 0.7216 | 0.6068 | 0.7216 | 0.8494 |
293
+ | No log | 16.1333 | 484 | 0.7236 | 0.5695 | 0.7236 | 0.8506 |
294
+ | No log | 16.2 | 486 | 0.7311 | 0.5501 | 0.7311 | 0.8550 |
295
+ | No log | 16.2667 | 488 | 0.7424 | 0.5501 | 0.7424 | 0.8616 |
296
+ | No log | 16.3333 | 490 | 0.7428 | 0.5152 | 0.7428 | 0.8618 |
297
+ | No log | 16.4 | 492 | 0.7589 | 0.5002 | 0.7589 | 0.8711 |
298
+ | No log | 16.4667 | 494 | 0.7622 | 0.5236 | 0.7622 | 0.8730 |
299
+ | No log | 16.5333 | 496 | 0.7651 | 0.5073 | 0.7651 | 0.8747 |
300
+ | No log | 16.6 | 498 | 0.7562 | 0.5462 | 0.7562 | 0.8696 |
301
+ | 0.3099 | 16.6667 | 500 | 0.7503 | 0.5462 | 0.7503 | 0.8662 |
302
+ | 0.3099 | 16.7333 | 502 | 0.7641 | 0.5842 | 0.7641 | 0.8741 |
303
+ | 0.3099 | 16.8 | 504 | 0.7798 | 0.5392 | 0.7798 | 0.8831 |
304
+ | 0.3099 | 16.8667 | 506 | 0.8051 | 0.5279 | 0.8051 | 0.8973 |
305
+ | 0.3099 | 16.9333 | 508 | 0.8438 | 0.5025 | 0.8438 | 0.9186 |
306
+ | 0.3099 | 17.0 | 510 | 0.8192 | 0.4823 | 0.8192 | 0.9051 |
307
+ | 0.3099 | 17.0667 | 512 | 0.7771 | 0.5052 | 0.7771 | 0.8815 |
308
+
309
+
310
+ ### Framework versions
311
+
312
+ - Transformers 4.44.2
313
+ - Pytorch 2.4.0+cu118
314
+ - Datasets 2.21.0
315
+ - 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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