Training in progress, step 500
Browse files- README.md +336 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
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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| 6 |
+
model-index:
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| 7 |
+
- name: Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_vocabulary
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| 8 |
+
results: []
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 12 |
+
should probably proofread and complete it, then remove this comment. -->
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| 13 |
+
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| 14 |
+
# Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask6_vocabulary
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| 15 |
+
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| 16 |
+
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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| 17 |
+
It achieves the following results on the evaluation set:
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| 18 |
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- Loss: 0.5043
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- Qwk: 0.5939
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- Mse: 0.5043
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- Rmse: 0.7101
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## Model description
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More information needed
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## Intended uses & limitations
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| 28 |
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More information needed
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## Training and evaluation data
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| 32 |
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More information needed
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## Training procedure
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### Training hyperparameters
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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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| 47 |
+
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| 48 |
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### Training results
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| 49 |
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|
| 50 |
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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| 51 |
+
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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| 52 |
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| No log | 0.0194 | 2 | 5.0185 | -0.0129 | 5.0185 | 2.2402 |
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| 53 |
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| No log | 0.0388 | 4 | 2.9396 | 0.0340 | 2.9396 | 1.7145 |
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| 54 |
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| No log | 0.0583 | 6 | 1.5723 | 0.0107 | 1.5723 | 1.2539 |
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| 55 |
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| No log | 0.0777 | 8 | 1.0046 | 0.1951 | 1.0046 | 1.0023 |
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| 56 |
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| No log | 0.0971 | 10 | 0.9021 | 0.2164 | 0.9021 | 0.9498 |
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| 57 |
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| No log | 0.1165 | 12 | 0.7757 | 0.2351 | 0.7757 | 0.8808 |
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| 58 |
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| No log | 0.1359 | 14 | 0.8886 | 0.2783 | 0.8886 | 0.9427 |
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| 59 |
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| No log | 0.1553 | 16 | 0.8244 | 0.3383 | 0.8244 | 0.9080 |
|
| 60 |
+
| No log | 0.1748 | 18 | 0.6587 | 0.4086 | 0.6587 | 0.8116 |
|
| 61 |
+
| No log | 0.1942 | 20 | 1.4258 | 0.2606 | 1.4258 | 1.1941 |
|
| 62 |
+
| No log | 0.2136 | 22 | 1.6812 | 0.2299 | 1.6812 | 1.2966 |
|
| 63 |
+
| No log | 0.2330 | 24 | 1.1817 | 0.2976 | 1.1817 | 1.0870 |
|
| 64 |
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| No log | 0.2524 | 26 | 0.6237 | 0.4497 | 0.6237 | 0.7898 |
|
| 65 |
+
| No log | 0.2718 | 28 | 0.7439 | 0.3684 | 0.7439 | 0.8625 |
|
| 66 |
+
| No log | 0.2913 | 30 | 0.8713 | 0.1200 | 0.8713 | 0.9334 |
|
| 67 |
+
| No log | 0.3107 | 32 | 0.8233 | 0.1393 | 0.8233 | 0.9073 |
|
| 68 |
+
| No log | 0.3301 | 34 | 0.6951 | 0.2541 | 0.6951 | 0.8337 |
|
| 69 |
+
| No log | 0.3495 | 36 | 0.6489 | 0.3517 | 0.6489 | 0.8055 |
|
| 70 |
+
| No log | 0.3689 | 38 | 0.6482 | 0.3727 | 0.6482 | 0.8051 |
|
| 71 |
+
| No log | 0.3883 | 40 | 0.6171 | 0.4117 | 0.6171 | 0.7855 |
|
| 72 |
+
| No log | 0.4078 | 42 | 0.6288 | 0.5058 | 0.6288 | 0.7929 |
|
| 73 |
+
| No log | 0.4272 | 44 | 0.6472 | 0.5511 | 0.6472 | 0.8045 |
|
| 74 |
+
| No log | 0.4466 | 46 | 0.6464 | 0.5574 | 0.6464 | 0.8040 |
|
| 75 |
+
| No log | 0.4660 | 48 | 0.6805 | 0.5896 | 0.6805 | 0.8249 |
|
| 76 |
+
| No log | 0.4854 | 50 | 0.6914 | 0.6018 | 0.6914 | 0.8315 |
|
| 77 |
+
| No log | 0.5049 | 52 | 0.6490 | 0.5776 | 0.6490 | 0.8056 |
|
| 78 |
+
| No log | 0.5243 | 54 | 0.6433 | 0.5199 | 0.6433 | 0.8021 |
|
| 79 |
+
| No log | 0.5437 | 56 | 0.8356 | 0.4986 | 0.8356 | 0.9141 |
|
| 80 |
+
| No log | 0.5631 | 58 | 0.9066 | 0.4738 | 0.9066 | 0.9522 |
|
| 81 |
+
| No log | 0.5825 | 60 | 0.7273 | 0.5117 | 0.7273 | 0.8528 |
|
| 82 |
+
| No log | 0.6019 | 62 | 0.5856 | 0.5143 | 0.5856 | 0.7653 |
|
| 83 |
+
| No log | 0.6214 | 64 | 0.5471 | 0.4574 | 0.5471 | 0.7397 |
|
| 84 |
+
| No log | 0.6408 | 66 | 0.5823 | 0.4981 | 0.5823 | 0.7631 |
|
| 85 |
+
| No log | 0.6602 | 68 | 0.6212 | 0.4906 | 0.6212 | 0.7882 |
|
| 86 |
+
| No log | 0.6796 | 70 | 0.5922 | 0.5154 | 0.5922 | 0.7695 |
|
| 87 |
+
| No log | 0.6990 | 72 | 0.5612 | 0.5341 | 0.5612 | 0.7491 |
|
| 88 |
+
| No log | 0.7184 | 74 | 0.5135 | 0.4796 | 0.5135 | 0.7166 |
|
| 89 |
+
| No log | 0.7379 | 76 | 0.5082 | 0.4922 | 0.5082 | 0.7129 |
|
| 90 |
+
| No log | 0.7573 | 78 | 0.5285 | 0.4901 | 0.5285 | 0.7270 |
|
| 91 |
+
| No log | 0.7767 | 80 | 0.6103 | 0.5209 | 0.6103 | 0.7812 |
|
| 92 |
+
| No log | 0.7961 | 82 | 0.6812 | 0.4771 | 0.6812 | 0.8254 |
|
| 93 |
+
| No log | 0.8155 | 84 | 0.6926 | 0.4647 | 0.6926 | 0.8322 |
|
| 94 |
+
| No log | 0.8350 | 86 | 0.5713 | 0.4938 | 0.5713 | 0.7558 |
|
| 95 |
+
| No log | 0.8544 | 88 | 0.5054 | 0.5667 | 0.5054 | 0.7109 |
|
| 96 |
+
| No log | 0.8738 | 90 | 0.5707 | 0.5959 | 0.5707 | 0.7554 |
|
| 97 |
+
| No log | 0.8932 | 92 | 0.6008 | 0.6130 | 0.6008 | 0.7751 |
|
| 98 |
+
| No log | 0.9126 | 94 | 0.5892 | 0.6104 | 0.5892 | 0.7676 |
|
| 99 |
+
| No log | 0.9320 | 96 | 0.6716 | 0.5943 | 0.6716 | 0.8195 |
|
| 100 |
+
| No log | 0.9515 | 98 | 0.7515 | 0.5650 | 0.7515 | 0.8669 |
|
| 101 |
+
| No log | 0.9709 | 100 | 0.6382 | 0.6054 | 0.6382 | 0.7989 |
|
| 102 |
+
| No log | 0.9903 | 102 | 0.5340 | 0.6517 | 0.5340 | 0.7307 |
|
| 103 |
+
| No log | 1.0097 | 104 | 0.5589 | 0.6064 | 0.5589 | 0.7476 |
|
| 104 |
+
| No log | 1.0291 | 106 | 0.5618 | 0.6024 | 0.5618 | 0.7495 |
|
| 105 |
+
| No log | 1.0485 | 108 | 0.5105 | 0.6228 | 0.5105 | 0.7145 |
|
| 106 |
+
| No log | 1.0680 | 110 | 0.4902 | 0.6028 | 0.4902 | 0.7001 |
|
| 107 |
+
| No log | 1.0874 | 112 | 0.4895 | 0.5383 | 0.4895 | 0.6996 |
|
| 108 |
+
| No log | 1.1068 | 114 | 0.4925 | 0.5240 | 0.4925 | 0.7018 |
|
| 109 |
+
| No log | 1.1262 | 116 | 0.4858 | 0.5276 | 0.4858 | 0.6970 |
|
| 110 |
+
| No log | 1.1456 | 118 | 0.4933 | 0.5846 | 0.4933 | 0.7024 |
|
| 111 |
+
| No log | 1.1650 | 120 | 0.5781 | 0.5478 | 0.5781 | 0.7603 |
|
| 112 |
+
| No log | 1.1845 | 122 | 0.6169 | 0.5625 | 0.6169 | 0.7854 |
|
| 113 |
+
| No log | 1.2039 | 124 | 0.5393 | 0.5795 | 0.5393 | 0.7344 |
|
| 114 |
+
| No log | 1.2233 | 126 | 0.4967 | 0.5583 | 0.4967 | 0.7048 |
|
| 115 |
+
| No log | 1.2427 | 128 | 0.4764 | 0.5533 | 0.4764 | 0.6902 |
|
| 116 |
+
| No log | 1.2621 | 130 | 0.4815 | 0.4923 | 0.4815 | 0.6939 |
|
| 117 |
+
| No log | 1.2816 | 132 | 0.4704 | 0.5279 | 0.4704 | 0.6858 |
|
| 118 |
+
| No log | 1.3010 | 134 | 0.4655 | 0.5905 | 0.4655 | 0.6823 |
|
| 119 |
+
| No log | 1.3204 | 136 | 0.5077 | 0.6196 | 0.5077 | 0.7126 |
|
| 120 |
+
| No log | 1.3398 | 138 | 0.5011 | 0.6468 | 0.5011 | 0.7079 |
|
| 121 |
+
| No log | 1.3592 | 140 | 0.5052 | 0.6685 | 0.5052 | 0.7108 |
|
| 122 |
+
| No log | 1.3786 | 142 | 0.6131 | 0.5736 | 0.6131 | 0.7830 |
|
| 123 |
+
| No log | 1.3981 | 144 | 0.6537 | 0.5500 | 0.6537 | 0.8085 |
|
| 124 |
+
| No log | 1.4175 | 146 | 0.5958 | 0.5884 | 0.5958 | 0.7719 |
|
| 125 |
+
| No log | 1.4369 | 148 | 0.5857 | 0.5966 | 0.5857 | 0.7653 |
|
| 126 |
+
| No log | 1.4563 | 150 | 0.5901 | 0.5407 | 0.5901 | 0.7682 |
|
| 127 |
+
| No log | 1.4757 | 152 | 0.5959 | 0.5280 | 0.5959 | 0.7720 |
|
| 128 |
+
| No log | 1.4951 | 154 | 0.5597 | 0.5043 | 0.5597 | 0.7481 |
|
| 129 |
+
| No log | 1.5146 | 156 | 0.5805 | 0.5259 | 0.5805 | 0.7619 |
|
| 130 |
+
| No log | 1.5340 | 158 | 0.6225 | 0.5301 | 0.6225 | 0.7890 |
|
| 131 |
+
| No log | 1.5534 | 160 | 0.6014 | 0.5343 | 0.6014 | 0.7755 |
|
| 132 |
+
| No log | 1.5728 | 162 | 0.5468 | 0.5466 | 0.5468 | 0.7394 |
|
| 133 |
+
| No log | 1.5922 | 164 | 0.5146 | 0.5381 | 0.5146 | 0.7174 |
|
| 134 |
+
| No log | 1.6117 | 166 | 0.5428 | 0.5822 | 0.5428 | 0.7367 |
|
| 135 |
+
| No log | 1.6311 | 168 | 0.5028 | 0.5799 | 0.5028 | 0.7091 |
|
| 136 |
+
| No log | 1.6505 | 170 | 0.4712 | 0.6016 | 0.4712 | 0.6864 |
|
| 137 |
+
| No log | 1.6699 | 172 | 0.5099 | 0.5266 | 0.5099 | 0.7141 |
|
| 138 |
+
| No log | 1.6893 | 174 | 0.4636 | 0.5760 | 0.4636 | 0.6809 |
|
| 139 |
+
| No log | 1.7087 | 176 | 0.4573 | 0.6305 | 0.4573 | 0.6763 |
|
| 140 |
+
| No log | 1.7282 | 178 | 0.5367 | 0.5659 | 0.5367 | 0.7326 |
|
| 141 |
+
| No log | 1.7476 | 180 | 0.5682 | 0.5761 | 0.5682 | 0.7538 |
|
| 142 |
+
| No log | 1.7670 | 182 | 0.5302 | 0.5743 | 0.5302 | 0.7282 |
|
| 143 |
+
| No log | 1.7864 | 184 | 0.4951 | 0.5980 | 0.4951 | 0.7036 |
|
| 144 |
+
| No log | 1.8058 | 186 | 0.4841 | 0.5819 | 0.4841 | 0.6958 |
|
| 145 |
+
| No log | 1.8252 | 188 | 0.5124 | 0.6044 | 0.5124 | 0.7158 |
|
| 146 |
+
| No log | 1.8447 | 190 | 0.5255 | 0.6160 | 0.5255 | 0.7249 |
|
| 147 |
+
| No log | 1.8641 | 192 | 0.4934 | 0.6026 | 0.4934 | 0.7024 |
|
| 148 |
+
| No log | 1.8835 | 194 | 0.4855 | 0.6246 | 0.4855 | 0.6968 |
|
| 149 |
+
| No log | 1.9029 | 196 | 0.4680 | 0.6270 | 0.4680 | 0.6841 |
|
| 150 |
+
| No log | 1.9223 | 198 | 0.4763 | 0.6507 | 0.4763 | 0.6901 |
|
| 151 |
+
| No log | 1.9417 | 200 | 0.4737 | 0.6590 | 0.4737 | 0.6882 |
|
| 152 |
+
| No log | 1.9612 | 202 | 0.5355 | 0.6248 | 0.5355 | 0.7318 |
|
| 153 |
+
| No log | 1.9806 | 204 | 0.5802 | 0.6199 | 0.5802 | 0.7617 |
|
| 154 |
+
| No log | 2.0 | 206 | 0.5328 | 0.6052 | 0.5328 | 0.7300 |
|
| 155 |
+
| No log | 2.0194 | 208 | 0.5278 | 0.6075 | 0.5278 | 0.7265 |
|
| 156 |
+
| No log | 2.0388 | 210 | 0.5362 | 0.6045 | 0.5362 | 0.7323 |
|
| 157 |
+
| No log | 2.0583 | 212 | 0.5709 | 0.6156 | 0.5709 | 0.7556 |
|
| 158 |
+
| No log | 2.0777 | 214 | 0.5900 | 0.6204 | 0.5900 | 0.7681 |
|
| 159 |
+
| No log | 2.0971 | 216 | 0.5552 | 0.6250 | 0.5552 | 0.7451 |
|
| 160 |
+
| No log | 2.1165 | 218 | 0.5440 | 0.5994 | 0.5440 | 0.7376 |
|
| 161 |
+
| No log | 2.1359 | 220 | 0.5055 | 0.6177 | 0.5055 | 0.7110 |
|
| 162 |
+
| No log | 2.1553 | 222 | 0.5128 | 0.6063 | 0.5128 | 0.7161 |
|
| 163 |
+
| No log | 2.1748 | 224 | 0.5069 | 0.6026 | 0.5069 | 0.7120 |
|
| 164 |
+
| No log | 2.1942 | 226 | 0.4857 | 0.6086 | 0.4857 | 0.6969 |
|
| 165 |
+
| No log | 2.2136 | 228 | 0.5261 | 0.6406 | 0.5261 | 0.7253 |
|
| 166 |
+
| No log | 2.2330 | 230 | 0.6282 | 0.5701 | 0.6282 | 0.7926 |
|
| 167 |
+
| No log | 2.2524 | 232 | 0.6307 | 0.5805 | 0.6307 | 0.7941 |
|
| 168 |
+
| No log | 2.2718 | 234 | 0.5401 | 0.6312 | 0.5401 | 0.7349 |
|
| 169 |
+
| No log | 2.2913 | 236 | 0.6096 | 0.6168 | 0.6096 | 0.7808 |
|
| 170 |
+
| No log | 2.3107 | 238 | 0.6558 | 0.6171 | 0.6558 | 0.8098 |
|
| 171 |
+
| No log | 2.3301 | 240 | 0.6020 | 0.6242 | 0.6020 | 0.7759 |
|
| 172 |
+
| No log | 2.3495 | 242 | 0.5460 | 0.6191 | 0.5460 | 0.7389 |
|
| 173 |
+
| No log | 2.3689 | 244 | 0.5831 | 0.5926 | 0.5831 | 0.7636 |
|
| 174 |
+
| No log | 2.3883 | 246 | 0.5659 | 0.5819 | 0.5659 | 0.7522 |
|
| 175 |
+
| No log | 2.4078 | 248 | 0.4981 | 0.5535 | 0.4981 | 0.7058 |
|
| 176 |
+
| No log | 2.4272 | 250 | 0.4630 | 0.5618 | 0.4630 | 0.6804 |
|
| 177 |
+
| No log | 2.4466 | 252 | 0.4554 | 0.5702 | 0.4554 | 0.6748 |
|
| 178 |
+
| No log | 2.4660 | 254 | 0.4838 | 0.5997 | 0.4838 | 0.6956 |
|
| 179 |
+
| No log | 2.4854 | 256 | 0.5475 | 0.6177 | 0.5475 | 0.7399 |
|
| 180 |
+
| No log | 2.5049 | 258 | 0.5324 | 0.6314 | 0.5324 | 0.7297 |
|
| 181 |
+
| No log | 2.5243 | 260 | 0.5035 | 0.6247 | 0.5035 | 0.7096 |
|
| 182 |
+
| No log | 2.5437 | 262 | 0.4603 | 0.6489 | 0.4603 | 0.6785 |
|
| 183 |
+
| No log | 2.5631 | 264 | 0.5295 | 0.6174 | 0.5295 | 0.7277 |
|
| 184 |
+
| No log | 2.5825 | 266 | 0.6091 | 0.6155 | 0.6091 | 0.7804 |
|
| 185 |
+
| No log | 2.6019 | 268 | 0.5501 | 0.6144 | 0.5501 | 0.7417 |
|
| 186 |
+
| No log | 2.6214 | 270 | 0.4845 | 0.6304 | 0.4845 | 0.6960 |
|
| 187 |
+
| No log | 2.6408 | 272 | 0.5389 | 0.6153 | 0.5389 | 0.7341 |
|
| 188 |
+
| No log | 2.6602 | 274 | 0.5236 | 0.6159 | 0.5236 | 0.7236 |
|
| 189 |
+
| No log | 2.6796 | 276 | 0.4803 | 0.6255 | 0.4803 | 0.6931 |
|
| 190 |
+
| No log | 2.6990 | 278 | 0.4717 | 0.6234 | 0.4717 | 0.6868 |
|
| 191 |
+
| No log | 2.7184 | 280 | 0.4631 | 0.6131 | 0.4631 | 0.6805 |
|
| 192 |
+
| No log | 2.7379 | 282 | 0.4621 | 0.5859 | 0.4621 | 0.6798 |
|
| 193 |
+
| No log | 2.7573 | 284 | 0.4714 | 0.6284 | 0.4714 | 0.6866 |
|
| 194 |
+
| No log | 2.7767 | 286 | 0.5291 | 0.6261 | 0.5291 | 0.7274 |
|
| 195 |
+
| No log | 2.7961 | 288 | 0.5714 | 0.6298 | 0.5714 | 0.7559 |
|
| 196 |
+
| No log | 2.8155 | 290 | 0.7010 | 0.6097 | 0.7010 | 0.8373 |
|
| 197 |
+
| No log | 2.8350 | 292 | 0.7396 | 0.6030 | 0.7396 | 0.8600 |
|
| 198 |
+
| No log | 2.8544 | 294 | 0.6527 | 0.6545 | 0.6527 | 0.8079 |
|
| 199 |
+
| No log | 2.8738 | 296 | 0.5766 | 0.6537 | 0.5766 | 0.7593 |
|
| 200 |
+
| No log | 2.8932 | 298 | 0.5636 | 0.6490 | 0.5636 | 0.7507 |
|
| 201 |
+
| No log | 2.9126 | 300 | 0.5956 | 0.6145 | 0.5956 | 0.7718 |
|
| 202 |
+
| No log | 2.9320 | 302 | 0.5988 | 0.5997 | 0.5988 | 0.7738 |
|
| 203 |
+
| No log | 2.9515 | 304 | 0.5256 | 0.6304 | 0.5256 | 0.7250 |
|
| 204 |
+
| No log | 2.9709 | 306 | 0.4523 | 0.6053 | 0.4523 | 0.6725 |
|
| 205 |
+
| No log | 2.9903 | 308 | 0.5132 | 0.5035 | 0.5132 | 0.7164 |
|
| 206 |
+
| No log | 3.0097 | 310 | 0.5535 | 0.4775 | 0.5535 | 0.7440 |
|
| 207 |
+
| No log | 3.0291 | 312 | 0.5141 | 0.5125 | 0.5141 | 0.7170 |
|
| 208 |
+
| No log | 3.0485 | 314 | 0.4796 | 0.5615 | 0.4796 | 0.6926 |
|
| 209 |
+
| No log | 3.0680 | 316 | 0.4711 | 0.6260 | 0.4711 | 0.6864 |
|
| 210 |
+
| No log | 3.0874 | 318 | 0.4764 | 0.6556 | 0.4764 | 0.6902 |
|
| 211 |
+
| No log | 3.1068 | 320 | 0.5471 | 0.6321 | 0.5471 | 0.7397 |
|
| 212 |
+
| No log | 3.1262 | 322 | 0.6458 | 0.6169 | 0.6458 | 0.8036 |
|
| 213 |
+
| No log | 3.1456 | 324 | 0.6997 | 0.5904 | 0.6997 | 0.8365 |
|
| 214 |
+
| No log | 3.1650 | 326 | 0.6804 | 0.5835 | 0.6804 | 0.8249 |
|
| 215 |
+
| No log | 3.1845 | 328 | 0.6154 | 0.6293 | 0.6154 | 0.7845 |
|
| 216 |
+
| No log | 3.2039 | 330 | 0.5867 | 0.6604 | 0.5867 | 0.7660 |
|
| 217 |
+
| No log | 3.2233 | 332 | 0.7011 | 0.5611 | 0.7011 | 0.8373 |
|
| 218 |
+
| No log | 3.2427 | 334 | 0.6714 | 0.6000 | 0.6714 | 0.8194 |
|
| 219 |
+
| No log | 3.2621 | 336 | 0.4959 | 0.6034 | 0.4959 | 0.7042 |
|
| 220 |
+
| No log | 3.2816 | 338 | 0.4689 | 0.5524 | 0.4689 | 0.6847 |
|
| 221 |
+
| No log | 3.3010 | 340 | 0.4901 | 0.5342 | 0.4901 | 0.7001 |
|
| 222 |
+
| No log | 3.3204 | 342 | 0.5012 | 0.5062 | 0.5012 | 0.7079 |
|
| 223 |
+
| No log | 3.3398 | 344 | 0.4821 | 0.5312 | 0.4821 | 0.6943 |
|
| 224 |
+
| No log | 3.3592 | 346 | 0.4882 | 0.5679 | 0.4882 | 0.6987 |
|
| 225 |
+
| No log | 3.3786 | 348 | 0.5437 | 0.6194 | 0.5437 | 0.7373 |
|
| 226 |
+
| No log | 3.3981 | 350 | 0.5610 | 0.5985 | 0.5610 | 0.7490 |
|
| 227 |
+
| No log | 3.4175 | 352 | 0.5199 | 0.6184 | 0.5199 | 0.7210 |
|
| 228 |
+
| No log | 3.4369 | 354 | 0.5316 | 0.6360 | 0.5316 | 0.7291 |
|
| 229 |
+
| No log | 3.4563 | 356 | 0.5564 | 0.6345 | 0.5564 | 0.7459 |
|
| 230 |
+
| No log | 3.4757 | 358 | 0.5545 | 0.6239 | 0.5545 | 0.7446 |
|
| 231 |
+
| No log | 3.4951 | 360 | 0.5846 | 0.5769 | 0.5846 | 0.7646 |
|
| 232 |
+
| No log | 3.5146 | 362 | 0.5746 | 0.5745 | 0.5746 | 0.7581 |
|
| 233 |
+
| No log | 3.5340 | 364 | 0.5257 | 0.6184 | 0.5257 | 0.7250 |
|
| 234 |
+
| No log | 3.5534 | 366 | 0.5324 | 0.6134 | 0.5324 | 0.7296 |
|
| 235 |
+
| No log | 3.5728 | 368 | 0.5801 | 0.5772 | 0.5801 | 0.7617 |
|
| 236 |
+
| No log | 3.5922 | 370 | 0.5960 | 0.5785 | 0.5960 | 0.7720 |
|
| 237 |
+
| No log | 3.6117 | 372 | 0.6188 | 0.5673 | 0.6188 | 0.7867 |
|
| 238 |
+
| No log | 3.6311 | 374 | 0.5733 | 0.6112 | 0.5733 | 0.7572 |
|
| 239 |
+
| No log | 3.6505 | 376 | 0.5183 | 0.6426 | 0.5183 | 0.7199 |
|
| 240 |
+
| No log | 3.6699 | 378 | 0.5238 | 0.6428 | 0.5238 | 0.7237 |
|
| 241 |
+
| No log | 3.6893 | 380 | 0.6038 | 0.6206 | 0.6038 | 0.7770 |
|
| 242 |
+
| No log | 3.7087 | 382 | 0.7103 | 0.6014 | 0.7103 | 0.8428 |
|
| 243 |
+
| No log | 3.7282 | 384 | 0.7364 | 0.5703 | 0.7364 | 0.8581 |
|
| 244 |
+
| No log | 3.7476 | 386 | 0.6206 | 0.6061 | 0.6206 | 0.7878 |
|
| 245 |
+
| No log | 3.7670 | 388 | 0.4774 | 0.6403 | 0.4774 | 0.6910 |
|
| 246 |
+
| No log | 3.7864 | 390 | 0.4610 | 0.6240 | 0.4610 | 0.6789 |
|
| 247 |
+
| No log | 3.8058 | 392 | 0.5178 | 0.6357 | 0.5178 | 0.7196 |
|
| 248 |
+
| No log | 3.8252 | 394 | 0.4679 | 0.6367 | 0.4679 | 0.6841 |
|
| 249 |
+
| No log | 3.8447 | 396 | 0.4468 | 0.6088 | 0.4468 | 0.6685 |
|
| 250 |
+
| No log | 3.8641 | 398 | 0.4443 | 0.6414 | 0.4443 | 0.6665 |
|
| 251 |
+
| No log | 3.8835 | 400 | 0.4607 | 0.6664 | 0.4607 | 0.6788 |
|
| 252 |
+
| No log | 3.9029 | 402 | 0.4886 | 0.6733 | 0.4886 | 0.6990 |
|
| 253 |
+
| No log | 3.9223 | 404 | 0.4933 | 0.6665 | 0.4933 | 0.7023 |
|
| 254 |
+
| No log | 3.9417 | 406 | 0.6363 | 0.6004 | 0.6363 | 0.7977 |
|
| 255 |
+
| No log | 3.9612 | 408 | 0.5993 | 0.5946 | 0.5993 | 0.7741 |
|
| 256 |
+
| No log | 3.9806 | 410 | 0.4883 | 0.6469 | 0.4883 | 0.6988 |
|
| 257 |
+
| No log | 4.0 | 412 | 0.4980 | 0.6455 | 0.4980 | 0.7057 |
|
| 258 |
+
| No log | 4.0194 | 414 | 0.4722 | 0.6336 | 0.4722 | 0.6872 |
|
| 259 |
+
| No log | 4.0388 | 416 | 0.4709 | 0.6563 | 0.4709 | 0.6862 |
|
| 260 |
+
| No log | 4.0583 | 418 | 0.6482 | 0.5841 | 0.6482 | 0.8051 |
|
| 261 |
+
| No log | 4.0777 | 420 | 0.6921 | 0.5807 | 0.6921 | 0.8319 |
|
| 262 |
+
| No log | 4.0971 | 422 | 0.5601 | 0.6277 | 0.5601 | 0.7484 |
|
| 263 |
+
| No log | 4.1165 | 424 | 0.5036 | 0.6443 | 0.5036 | 0.7096 |
|
| 264 |
+
| No log | 4.1359 | 426 | 0.5252 | 0.6293 | 0.5252 | 0.7247 |
|
| 265 |
+
| No log | 4.1553 | 428 | 0.4969 | 0.6802 | 0.4969 | 0.7049 |
|
| 266 |
+
| No log | 4.1748 | 430 | 0.6433 | 0.6113 | 0.6433 | 0.8021 |
|
| 267 |
+
| No log | 4.1942 | 432 | 0.8000 | 0.5576 | 0.8000 | 0.8945 |
|
| 268 |
+
| No log | 4.2136 | 434 | 0.7291 | 0.5501 | 0.7291 | 0.8539 |
|
| 269 |
+
| No log | 4.2330 | 436 | 0.5664 | 0.6039 | 0.5664 | 0.7526 |
|
| 270 |
+
| No log | 4.2524 | 438 | 0.5335 | 0.6424 | 0.5335 | 0.7304 |
|
| 271 |
+
| No log | 4.2718 | 440 | 0.5453 | 0.6374 | 0.5453 | 0.7384 |
|
| 272 |
+
| No log | 4.2913 | 442 | 0.6212 | 0.5766 | 0.6212 | 0.7882 |
|
| 273 |
+
| No log | 4.3107 | 444 | 0.6525 | 0.5626 | 0.6525 | 0.8077 |
|
| 274 |
+
| No log | 4.3301 | 446 | 0.5421 | 0.6317 | 0.5421 | 0.7363 |
|
| 275 |
+
| No log | 4.3495 | 448 | 0.4732 | 0.6086 | 0.4732 | 0.6879 |
|
| 276 |
+
| No log | 4.3689 | 450 | 0.4728 | 0.6159 | 0.4728 | 0.6876 |
|
| 277 |
+
| No log | 4.3883 | 452 | 0.5124 | 0.6399 | 0.5124 | 0.7158 |
|
| 278 |
+
| No log | 4.4078 | 454 | 0.6048 | 0.6269 | 0.6048 | 0.7777 |
|
| 279 |
+
| No log | 4.4272 | 456 | 0.6392 | 0.6105 | 0.6392 | 0.7995 |
|
| 280 |
+
| No log | 4.4466 | 458 | 0.5977 | 0.6313 | 0.5977 | 0.7731 |
|
| 281 |
+
| No log | 4.4660 | 460 | 0.5276 | 0.6374 | 0.5276 | 0.7263 |
|
| 282 |
+
| No log | 4.4854 | 462 | 0.5003 | 0.6576 | 0.5003 | 0.7073 |
|
| 283 |
+
| No log | 4.5049 | 464 | 0.5031 | 0.6160 | 0.5031 | 0.7093 |
|
| 284 |
+
| No log | 4.5243 | 466 | 0.5266 | 0.6264 | 0.5266 | 0.7257 |
|
| 285 |
+
| No log | 4.5437 | 468 | 0.5167 | 0.6555 | 0.5167 | 0.7188 |
|
| 286 |
+
| No log | 4.5631 | 470 | 0.6057 | 0.6372 | 0.6057 | 0.7782 |
|
| 287 |
+
| No log | 4.5825 | 472 | 0.6771 | 0.6296 | 0.6771 | 0.8229 |
|
| 288 |
+
| No log | 4.6019 | 474 | 0.6840 | 0.6126 | 0.6840 | 0.8270 |
|
| 289 |
+
| No log | 4.6214 | 476 | 0.6895 | 0.6180 | 0.6895 | 0.8304 |
|
| 290 |
+
| No log | 4.6408 | 478 | 0.7669 | 0.5934 | 0.7669 | 0.8757 |
|
| 291 |
+
| No log | 4.6602 | 480 | 0.6391 | 0.6565 | 0.6391 | 0.7995 |
|
| 292 |
+
| No log | 4.6796 | 482 | 0.5674 | 0.6751 | 0.5674 | 0.7533 |
|
| 293 |
+
| No log | 4.6990 | 484 | 0.5409 | 0.6634 | 0.5409 | 0.7354 |
|
| 294 |
+
| No log | 4.7184 | 486 | 0.4929 | 0.6493 | 0.4929 | 0.7021 |
|
| 295 |
+
| No log | 4.7379 | 488 | 0.4682 | 0.6264 | 0.4682 | 0.6842 |
|
| 296 |
+
| No log | 4.7573 | 490 | 0.4998 | 0.6629 | 0.4998 | 0.7070 |
|
| 297 |
+
| No log | 4.7767 | 492 | 0.6387 | 0.5938 | 0.6387 | 0.7992 |
|
| 298 |
+
| No log | 4.7961 | 494 | 0.5536 | 0.6225 | 0.5536 | 0.7441 |
|
| 299 |
+
| No log | 4.8155 | 496 | 0.4551 | 0.6336 | 0.4551 | 0.6746 |
|
| 300 |
+
| No log | 4.8350 | 498 | 0.4391 | 0.6238 | 0.4391 | 0.6627 |
|
| 301 |
+
| 0.527 | 4.8544 | 500 | 0.4298 | 0.6166 | 0.4298 | 0.6556 |
|
| 302 |
+
| 0.527 | 4.8738 | 502 | 0.4278 | 0.6371 | 0.4278 | 0.6541 |
|
| 303 |
+
| 0.527 | 4.8932 | 504 | 0.4767 | 0.6567 | 0.4767 | 0.6904 |
|
| 304 |
+
| 0.527 | 4.9126 | 506 | 0.5171 | 0.6740 | 0.5171 | 0.7191 |
|
| 305 |
+
| 0.527 | 4.9320 | 508 | 0.4616 | 0.6911 | 0.4616 | 0.6794 |
|
| 306 |
+
| 0.527 | 4.9515 | 510 | 0.4704 | 0.6924 | 0.4704 | 0.6858 |
|
| 307 |
+
| 0.527 | 4.9709 | 512 | 0.5043 | 0.6835 | 0.5043 | 0.7101 |
|
| 308 |
+
| 0.527 | 4.9903 | 514 | 0.6404 | 0.6730 | 0.6404 | 0.8002 |
|
| 309 |
+
| 0.527 | 5.0097 | 516 | 0.7511 | 0.6016 | 0.7511 | 0.8667 |
|
| 310 |
+
| 0.527 | 5.0291 | 518 | 0.6328 | 0.6483 | 0.6328 | 0.7955 |
|
| 311 |
+
| 0.527 | 5.0485 | 520 | 0.4811 | 0.6617 | 0.4811 | 0.6936 |
|
| 312 |
+
| 0.527 | 5.0680 | 522 | 0.4744 | 0.6629 | 0.4744 | 0.6888 |
|
| 313 |
+
| 0.527 | 5.0874 | 524 | 0.5357 | 0.6442 | 0.5357 | 0.7319 |
|
| 314 |
+
| 0.527 | 5.1068 | 526 | 0.5974 | 0.6478 | 0.5974 | 0.7729 |
|
| 315 |
+
| 0.527 | 5.1262 | 528 | 0.6125 | 0.6468 | 0.6125 | 0.7826 |
|
| 316 |
+
| 0.527 | 5.1456 | 530 | 0.6401 | 0.6256 | 0.6401 | 0.8001 |
|
| 317 |
+
| 0.527 | 5.1650 | 532 | 0.6535 | 0.6226 | 0.6535 | 0.8084 |
|
| 318 |
+
| 0.527 | 5.1845 | 534 | 0.5774 | 0.6423 | 0.5774 | 0.7599 |
|
| 319 |
+
| 0.527 | 5.2039 | 536 | 0.5787 | 0.6433 | 0.5787 | 0.7607 |
|
| 320 |
+
| 0.527 | 5.2233 | 538 | 0.5225 | 0.6435 | 0.5225 | 0.7229 |
|
| 321 |
+
| 0.527 | 5.2427 | 540 | 0.4607 | 0.6228 | 0.4607 | 0.6787 |
|
| 322 |
+
| 0.527 | 5.2621 | 542 | 0.4653 | 0.5769 | 0.4653 | 0.6821 |
|
| 323 |
+
| 0.527 | 5.2816 | 544 | 0.4786 | 0.6189 | 0.4786 | 0.6918 |
|
| 324 |
+
| 0.527 | 5.3010 | 546 | 0.6743 | 0.5974 | 0.6743 | 0.8212 |
|
| 325 |
+
| 0.527 | 5.3204 | 548 | 0.9360 | 0.4811 | 0.9360 | 0.9675 |
|
| 326 |
+
| 0.527 | 5.3398 | 550 | 0.9418 | 0.4952 | 0.9418 | 0.9705 |
|
| 327 |
+
| 0.527 | 5.3592 | 552 | 0.6920 | 0.5479 | 0.6920 | 0.8319 |
|
| 328 |
+
| 0.527 | 5.3786 | 554 | 0.5043 | 0.5939 | 0.5043 | 0.7101 |
|
| 329 |
+
|
| 330 |
+
|
| 331 |
+
### Framework versions
|
| 332 |
+
|
| 333 |
+
- Transformers 4.44.2
|
| 334 |
+
- Pytorch 2.4.0+cu118
|
| 335 |
+
- Datasets 2.21.0
|
| 336 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "aubmindlab/bert-base-arabertv02",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "LABEL_0"
|
| 13 |
+
},
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"intermediate_size": 3072,
|
| 16 |
+
"label2id": {
|
| 17 |
+
"LABEL_0": 0
|
| 18 |
+
},
|
| 19 |
+
"layer_norm_eps": 1e-12,
|
| 20 |
+
"max_position_embeddings": 512,
|
| 21 |
+
"model_type": "bert",
|
| 22 |
+
"num_attention_heads": 12,
|
| 23 |
+
"num_hidden_layers": 12,
|
| 24 |
+
"pad_token_id": 0,
|
| 25 |
+
"position_embedding_type": "absolute",
|
| 26 |
+
"problem_type": "regression",
|
| 27 |
+
"torch_dtype": "float32",
|
| 28 |
+
"transformers_version": "4.44.2",
|
| 29 |
+
"type_vocab_size": 2,
|
| 30 |
+
"use_cache": true,
|
| 31 |
+
"vocab_size": 64000
|
| 32 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0802c835014cd8cda473903227f7b6fa9af9b0b20afca221d962dc9f7f116b1
|
| 3 |
+
size 540799996
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eac78ec5ba056a9d780aef6fe77704afa55923f3beed5c27b895d2ede7078d1c
|
| 3 |
+
size 5240
|