End of training
Browse files- README.md +320 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
base_model: aubmindlab/bert-base-arabertv02
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
model-index:
|
| 7 |
+
- name: ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k14_task1_organization
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| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k14_task1_organization
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.9060
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| 19 |
+
- Qwk: 0.6528
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| 20 |
+
- Mse: 0.9059
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| 21 |
+
- Rmse: 0.9518
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
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| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 2e-05
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| 41 |
+
- train_batch_size: 8
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| 42 |
+
- eval_batch_size: 8
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| 43 |
+
- seed: 42
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| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 45 |
+
- lr_scheduler_type: linear
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| 46 |
+
- num_epochs: 100
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|
| 51 |
+
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
|
| 52 |
+
| No log | 0.0294 | 2 | 6.8197 | 0.0308 | 6.8197 | 2.6115 |
|
| 53 |
+
| No log | 0.0588 | 4 | 4.5309 | 0.0945 | 4.5309 | 2.1286 |
|
| 54 |
+
| No log | 0.0882 | 6 | 3.3381 | 0.0226 | 3.3381 | 1.8270 |
|
| 55 |
+
| No log | 0.1176 | 8 | 2.6638 | 0.1325 | 2.6638 | 1.6321 |
|
| 56 |
+
| No log | 0.1471 | 10 | 1.9963 | 0.2047 | 1.9963 | 1.4129 |
|
| 57 |
+
| No log | 0.1765 | 12 | 1.8684 | 0.2202 | 1.8684 | 1.3669 |
|
| 58 |
+
| No log | 0.2059 | 14 | 1.9436 | 0.1682 | 1.9436 | 1.3941 |
|
| 59 |
+
| No log | 0.2353 | 16 | 1.8971 | 0.1905 | 1.8971 | 1.3774 |
|
| 60 |
+
| No log | 0.2647 | 18 | 1.7341 | 0.1714 | 1.7341 | 1.3168 |
|
| 61 |
+
| No log | 0.2941 | 20 | 1.6687 | 0.2075 | 1.6687 | 1.2918 |
|
| 62 |
+
| No log | 0.3235 | 22 | 1.7720 | 0.1698 | 1.7720 | 1.3312 |
|
| 63 |
+
| No log | 0.3529 | 24 | 2.0101 | 0.1167 | 2.0101 | 1.4178 |
|
| 64 |
+
| No log | 0.3824 | 26 | 2.4807 | 0.0709 | 2.4807 | 1.5750 |
|
| 65 |
+
| No log | 0.4118 | 28 | 2.6789 | 0.0135 | 2.6789 | 1.6367 |
|
| 66 |
+
| No log | 0.4412 | 30 | 2.4035 | 0.0833 | 2.4035 | 1.5503 |
|
| 67 |
+
| No log | 0.4706 | 32 | 1.9735 | 0.2137 | 1.9735 | 1.4048 |
|
| 68 |
+
| No log | 0.5 | 34 | 1.7333 | 0.2222 | 1.7333 | 1.3166 |
|
| 69 |
+
| No log | 0.5294 | 36 | 1.6178 | 0.2143 | 1.6178 | 1.2719 |
|
| 70 |
+
| No log | 0.5588 | 38 | 1.6814 | 0.1622 | 1.6814 | 1.2967 |
|
| 71 |
+
| No log | 0.5882 | 40 | 1.8363 | 0.1897 | 1.8363 | 1.3551 |
|
| 72 |
+
| No log | 0.6176 | 42 | 1.7297 | 0.1724 | 1.7297 | 1.3152 |
|
| 73 |
+
| No log | 0.6471 | 44 | 1.6567 | 0.1709 | 1.6567 | 1.2871 |
|
| 74 |
+
| No log | 0.6765 | 46 | 1.6473 | 0.2975 | 1.6473 | 1.2835 |
|
| 75 |
+
| No log | 0.7059 | 48 | 1.6339 | 0.2810 | 1.6339 | 1.2783 |
|
| 76 |
+
| No log | 0.7353 | 50 | 1.4977 | 0.3115 | 1.4977 | 1.2238 |
|
| 77 |
+
| No log | 0.7647 | 52 | 1.4125 | 0.3248 | 1.4125 | 1.1885 |
|
| 78 |
+
| No log | 0.7941 | 54 | 1.3721 | 0.3966 | 1.3721 | 1.1714 |
|
| 79 |
+
| No log | 0.8235 | 56 | 1.3618 | 0.3717 | 1.3618 | 1.1670 |
|
| 80 |
+
| No log | 0.8529 | 58 | 1.3272 | 0.3652 | 1.3272 | 1.1520 |
|
| 81 |
+
| No log | 0.8824 | 60 | 1.3405 | 0.3898 | 1.3405 | 1.1578 |
|
| 82 |
+
| No log | 0.9118 | 62 | 1.3804 | 0.3833 | 1.3804 | 1.1749 |
|
| 83 |
+
| No log | 0.9412 | 64 | 1.2838 | 0.5 | 1.2838 | 1.1331 |
|
| 84 |
+
| No log | 0.9706 | 66 | 1.3054 | 0.512 | 1.3054 | 1.1425 |
|
| 85 |
+
| No log | 1.0 | 68 | 1.4800 | 0.4580 | 1.4800 | 1.2166 |
|
| 86 |
+
| No log | 1.0294 | 70 | 1.5923 | 0.3256 | 1.5923 | 1.2619 |
|
| 87 |
+
| No log | 1.0588 | 72 | 1.2293 | 0.4715 | 1.2293 | 1.1087 |
|
| 88 |
+
| No log | 1.0882 | 74 | 1.2682 | 0.4 | 1.2682 | 1.1261 |
|
| 89 |
+
| No log | 1.1176 | 76 | 1.3300 | 0.4 | 1.3300 | 1.1532 |
|
| 90 |
+
| No log | 1.1471 | 78 | 1.2872 | 0.3793 | 1.2872 | 1.1345 |
|
| 91 |
+
| No log | 1.1765 | 80 | 1.3327 | 0.3802 | 1.3327 | 1.1544 |
|
| 92 |
+
| No log | 1.2059 | 82 | 1.2670 | 0.4098 | 1.2670 | 1.1256 |
|
| 93 |
+
| No log | 1.2353 | 84 | 1.3092 | 0.4444 | 1.3092 | 1.1442 |
|
| 94 |
+
| No log | 1.2647 | 86 | 1.3663 | 0.4030 | 1.3663 | 1.1689 |
|
| 95 |
+
| No log | 1.2941 | 88 | 1.2835 | 0.5333 | 1.2835 | 1.1329 |
|
| 96 |
+
| No log | 1.3235 | 90 | 1.2911 | 0.5522 | 1.2911 | 1.1363 |
|
| 97 |
+
| No log | 1.3529 | 92 | 1.3894 | 0.4060 | 1.3894 | 1.1787 |
|
| 98 |
+
| No log | 1.3824 | 94 | 1.5508 | 0.2581 | 1.5508 | 1.2453 |
|
| 99 |
+
| No log | 1.4118 | 96 | 1.6701 | 0.2833 | 1.6701 | 1.2923 |
|
| 100 |
+
| No log | 1.4412 | 98 | 1.5786 | 0.3559 | 1.5786 | 1.2564 |
|
| 101 |
+
| No log | 1.4706 | 100 | 1.3860 | 0.4444 | 1.3860 | 1.1773 |
|
| 102 |
+
| No log | 1.5 | 102 | 1.3283 | 0.4754 | 1.3283 | 1.1525 |
|
| 103 |
+
| No log | 1.5294 | 104 | 1.3236 | 0.4262 | 1.3236 | 1.1505 |
|
| 104 |
+
| No log | 1.5588 | 106 | 1.2869 | 0.4628 | 1.2869 | 1.1344 |
|
| 105 |
+
| No log | 1.5882 | 108 | 1.2100 | 0.4918 | 1.2100 | 1.1000 |
|
| 106 |
+
| No log | 1.6176 | 110 | 1.3107 | 0.4961 | 1.3107 | 1.1449 |
|
| 107 |
+
| No log | 1.6471 | 112 | 1.4033 | 0.4394 | 1.4033 | 1.1846 |
|
| 108 |
+
| No log | 1.6765 | 114 | 1.2775 | 0.5564 | 1.2775 | 1.1303 |
|
| 109 |
+
| No log | 1.7059 | 116 | 1.0337 | 0.5082 | 1.0337 | 1.0167 |
|
| 110 |
+
| No log | 1.7353 | 118 | 1.1093 | 0.5522 | 1.1093 | 1.0533 |
|
| 111 |
+
| No log | 1.7647 | 120 | 1.3278 | 0.4965 | 1.3278 | 1.1523 |
|
| 112 |
+
| No log | 1.7941 | 122 | 1.0769 | 0.5612 | 1.0769 | 1.0378 |
|
| 113 |
+
| No log | 1.8235 | 124 | 0.8877 | 0.6767 | 0.8877 | 0.9422 |
|
| 114 |
+
| No log | 1.8529 | 126 | 1.0692 | 0.5920 | 1.0692 | 1.0340 |
|
| 115 |
+
| No log | 1.8824 | 128 | 1.1410 | 0.5806 | 1.1410 | 1.0682 |
|
| 116 |
+
| No log | 1.9118 | 130 | 1.0140 | 0.5920 | 1.0140 | 1.0070 |
|
| 117 |
+
| No log | 1.9412 | 132 | 0.8940 | 0.6080 | 0.8940 | 0.9455 |
|
| 118 |
+
| No log | 1.9706 | 134 | 0.9085 | 0.528 | 0.9085 | 0.9531 |
|
| 119 |
+
| No log | 2.0 | 136 | 0.9284 | 0.5645 | 0.9284 | 0.9635 |
|
| 120 |
+
| No log | 2.0294 | 138 | 1.0098 | 0.5902 | 1.0098 | 1.0049 |
|
| 121 |
+
| No log | 2.0588 | 140 | 1.2013 | 0.5645 | 1.2013 | 1.0960 |
|
| 122 |
+
| No log | 2.0882 | 142 | 1.2438 | 0.5191 | 1.2438 | 1.1152 |
|
| 123 |
+
| No log | 2.1176 | 144 | 1.0031 | 0.5926 | 1.0031 | 1.0015 |
|
| 124 |
+
| No log | 2.1471 | 146 | 0.8315 | 0.6466 | 0.8315 | 0.9119 |
|
| 125 |
+
| No log | 2.1765 | 148 | 0.8424 | 0.6567 | 0.8424 | 0.9178 |
|
| 126 |
+
| No log | 2.2059 | 150 | 0.9776 | 0.6107 | 0.9776 | 0.9887 |
|
| 127 |
+
| No log | 2.2353 | 152 | 1.1099 | 0.6015 | 1.1099 | 1.0535 |
|
| 128 |
+
| No log | 2.2647 | 154 | 1.1890 | 0.5758 | 1.1890 | 1.0904 |
|
| 129 |
+
| No log | 2.2941 | 156 | 1.2301 | 0.5113 | 1.2301 | 1.1091 |
|
| 130 |
+
| No log | 2.3235 | 158 | 1.2572 | 0.5113 | 1.2572 | 1.1212 |
|
| 131 |
+
| No log | 2.3529 | 160 | 1.1778 | 0.5846 | 1.1778 | 1.0853 |
|
| 132 |
+
| No log | 2.3824 | 162 | 1.1260 | 0.5802 | 1.1260 | 1.0611 |
|
| 133 |
+
| No log | 2.4118 | 164 | 1.1018 | 0.5758 | 1.1018 | 1.0497 |
|
| 134 |
+
| No log | 2.4412 | 166 | 0.9536 | 0.6176 | 0.9536 | 0.9765 |
|
| 135 |
+
| No log | 2.4706 | 168 | 0.9101 | 0.6176 | 0.9101 | 0.9540 |
|
| 136 |
+
| No log | 2.5 | 170 | 0.9343 | 0.5926 | 0.9343 | 0.9666 |
|
| 137 |
+
| No log | 2.5294 | 172 | 0.9077 | 0.5926 | 0.9077 | 0.9527 |
|
| 138 |
+
| No log | 2.5588 | 174 | 0.9062 | 0.5649 | 0.9062 | 0.9520 |
|
| 139 |
+
| No log | 2.5882 | 176 | 0.9881 | 0.5564 | 0.9881 | 0.9941 |
|
| 140 |
+
| No log | 2.6176 | 178 | 0.9764 | 0.5606 | 0.9764 | 0.9881 |
|
| 141 |
+
| No log | 2.6471 | 180 | 0.8647 | 0.6714 | 0.8647 | 0.9299 |
|
| 142 |
+
| No log | 2.6765 | 182 | 0.8154 | 0.6619 | 0.8154 | 0.9030 |
|
| 143 |
+
| No log | 2.7059 | 184 | 0.8174 | 0.6667 | 0.8174 | 0.9041 |
|
| 144 |
+
| No log | 2.7353 | 186 | 0.8385 | 0.6569 | 0.8385 | 0.9157 |
|
| 145 |
+
| No log | 2.7647 | 188 | 0.8960 | 0.6471 | 0.8960 | 0.9466 |
|
| 146 |
+
| No log | 2.7941 | 190 | 0.9310 | 0.6418 | 0.9310 | 0.9649 |
|
| 147 |
+
| No log | 2.8235 | 192 | 0.9794 | 0.6324 | 0.9794 | 0.9897 |
|
| 148 |
+
| No log | 2.8529 | 194 | 1.0001 | 0.6475 | 1.0001 | 1.0001 |
|
| 149 |
+
| No log | 2.8824 | 196 | 0.9737 | 0.6222 | 0.9737 | 0.9867 |
|
| 150 |
+
| No log | 2.9118 | 198 | 1.1565 | 0.5231 | 1.1565 | 1.0754 |
|
| 151 |
+
| No log | 2.9412 | 200 | 1.2072 | 0.4962 | 1.2072 | 1.0987 |
|
| 152 |
+
| No log | 2.9706 | 202 | 1.0250 | 0.5926 | 1.0250 | 1.0124 |
|
| 153 |
+
| No log | 3.0 | 204 | 0.8340 | 0.7133 | 0.8340 | 0.9133 |
|
| 154 |
+
| No log | 3.0294 | 206 | 0.8557 | 0.6713 | 0.8557 | 0.9250 |
|
| 155 |
+
| No log | 3.0588 | 208 | 0.8265 | 0.7075 | 0.8265 | 0.9091 |
|
| 156 |
+
| No log | 3.0882 | 210 | 0.7823 | 0.7211 | 0.7823 | 0.8845 |
|
| 157 |
+
| No log | 3.1176 | 212 | 0.8634 | 0.5942 | 0.8634 | 0.9292 |
|
| 158 |
+
| No log | 3.1471 | 214 | 0.8797 | 0.5942 | 0.8797 | 0.9379 |
|
| 159 |
+
| No log | 3.1765 | 216 | 0.8857 | 0.6715 | 0.8857 | 0.9411 |
|
| 160 |
+
| No log | 3.2059 | 218 | 0.9167 | 0.6618 | 0.9167 | 0.9574 |
|
| 161 |
+
| No log | 3.2353 | 220 | 0.9117 | 0.6370 | 0.9117 | 0.9548 |
|
| 162 |
+
| No log | 3.2647 | 222 | 0.9196 | 0.6906 | 0.9196 | 0.9589 |
|
| 163 |
+
| No log | 3.2941 | 224 | 0.8875 | 0.7050 | 0.8875 | 0.9421 |
|
| 164 |
+
| No log | 3.3235 | 226 | 0.8208 | 0.7042 | 0.8208 | 0.9060 |
|
| 165 |
+
| No log | 3.3529 | 228 | 0.8010 | 0.7383 | 0.8010 | 0.8950 |
|
| 166 |
+
| No log | 3.3824 | 230 | 0.8593 | 0.7027 | 0.8593 | 0.9270 |
|
| 167 |
+
| No log | 3.4118 | 232 | 1.0218 | 0.6486 | 1.0218 | 1.0108 |
|
| 168 |
+
| No log | 3.4412 | 234 | 0.9886 | 0.6486 | 0.9886 | 0.9943 |
|
| 169 |
+
| No log | 3.4706 | 236 | 0.7902 | 0.7075 | 0.7902 | 0.8889 |
|
| 170 |
+
| No log | 3.5 | 238 | 0.6713 | 0.7467 | 0.6713 | 0.8193 |
|
| 171 |
+
| No log | 3.5294 | 240 | 0.6624 | 0.7550 | 0.6624 | 0.8139 |
|
| 172 |
+
| No log | 3.5588 | 242 | 0.7087 | 0.7483 | 0.7087 | 0.8418 |
|
| 173 |
+
| No log | 3.5882 | 244 | 0.8007 | 0.6853 | 0.8007 | 0.8948 |
|
| 174 |
+
| No log | 3.6176 | 246 | 0.8943 | 0.6761 | 0.8943 | 0.9457 |
|
| 175 |
+
| No log | 3.6471 | 248 | 0.8118 | 0.6853 | 0.8118 | 0.9010 |
|
| 176 |
+
| No log | 3.6765 | 250 | 0.7553 | 0.75 | 0.7553 | 0.8691 |
|
| 177 |
+
| No log | 3.7059 | 252 | 0.7476 | 0.7133 | 0.7476 | 0.8646 |
|
| 178 |
+
| No log | 3.7353 | 254 | 0.7037 | 0.75 | 0.7037 | 0.8388 |
|
| 179 |
+
| No log | 3.7647 | 256 | 0.8283 | 0.6853 | 0.8283 | 0.9101 |
|
| 180 |
+
| No log | 3.7941 | 258 | 1.0482 | 0.6622 | 1.0482 | 1.0238 |
|
| 181 |
+
| No log | 3.8235 | 260 | 1.1976 | 0.5658 | 1.1976 | 1.0944 |
|
| 182 |
+
| No log | 3.8529 | 262 | 1.2006 | 0.5541 | 1.2006 | 1.0957 |
|
| 183 |
+
| No log | 3.8824 | 264 | 0.9711 | 0.625 | 0.9711 | 0.9854 |
|
| 184 |
+
| No log | 3.9118 | 266 | 0.7249 | 0.7222 | 0.7249 | 0.8514 |
|
| 185 |
+
| No log | 3.9412 | 268 | 0.7365 | 0.7083 | 0.7365 | 0.8582 |
|
| 186 |
+
| No log | 3.9706 | 270 | 0.7474 | 0.7034 | 0.7474 | 0.8645 |
|
| 187 |
+
| No log | 4.0 | 272 | 0.6991 | 0.7172 | 0.6991 | 0.8361 |
|
| 188 |
+
| No log | 4.0294 | 274 | 0.7767 | 0.6957 | 0.7767 | 0.8813 |
|
| 189 |
+
| No log | 4.0588 | 276 | 0.8155 | 0.6667 | 0.8155 | 0.9030 |
|
| 190 |
+
| No log | 4.0882 | 278 | 0.7908 | 0.6763 | 0.7908 | 0.8893 |
|
| 191 |
+
| No log | 4.1176 | 280 | 0.7333 | 0.7133 | 0.7333 | 0.8563 |
|
| 192 |
+
| No log | 4.1471 | 282 | 0.7786 | 0.7397 | 0.7786 | 0.8824 |
|
| 193 |
+
| No log | 4.1765 | 284 | 0.8953 | 0.7114 | 0.8953 | 0.9462 |
|
| 194 |
+
| No log | 4.2059 | 286 | 0.8581 | 0.7285 | 0.8581 | 0.9264 |
|
| 195 |
+
| No log | 4.2353 | 288 | 0.7443 | 0.7260 | 0.7443 | 0.8628 |
|
| 196 |
+
| No log | 4.2647 | 290 | 0.7496 | 0.7432 | 0.7496 | 0.8658 |
|
| 197 |
+
| No log | 4.2941 | 292 | 0.8544 | 0.6434 | 0.8544 | 0.9244 |
|
| 198 |
+
| No log | 4.3235 | 294 | 0.8505 | 0.6434 | 0.8505 | 0.9222 |
|
| 199 |
+
| No log | 4.3529 | 296 | 0.7592 | 0.7483 | 0.7592 | 0.8713 |
|
| 200 |
+
| No log | 4.3824 | 298 | 0.7677 | 0.7413 | 0.7677 | 0.8762 |
|
| 201 |
+
| No log | 4.4118 | 300 | 0.8216 | 0.6950 | 0.8216 | 0.9064 |
|
| 202 |
+
| No log | 4.4412 | 302 | 0.8006 | 0.7273 | 0.8006 | 0.8948 |
|
| 203 |
+
| No log | 4.4706 | 304 | 0.7853 | 0.7310 | 0.7853 | 0.8862 |
|
| 204 |
+
| No log | 4.5 | 306 | 0.7679 | 0.7310 | 0.7679 | 0.8763 |
|
| 205 |
+
| No log | 4.5294 | 308 | 0.7760 | 0.6812 | 0.7760 | 0.8809 |
|
| 206 |
+
| No log | 4.5588 | 310 | 0.8112 | 0.6429 | 0.8112 | 0.9007 |
|
| 207 |
+
| No log | 4.5882 | 312 | 0.8282 | 0.6241 | 0.8282 | 0.9100 |
|
| 208 |
+
| No log | 4.6176 | 314 | 0.7554 | 0.6857 | 0.7554 | 0.8691 |
|
| 209 |
+
| No log | 4.6471 | 316 | 0.6677 | 0.7397 | 0.6677 | 0.8171 |
|
| 210 |
+
| No log | 4.6765 | 318 | 0.6540 | 0.7568 | 0.6540 | 0.8087 |
|
| 211 |
+
| No log | 4.7059 | 320 | 0.6592 | 0.7397 | 0.6592 | 0.8119 |
|
| 212 |
+
| No log | 4.7353 | 322 | 0.7132 | 0.7211 | 0.7132 | 0.8445 |
|
| 213 |
+
| No log | 4.7647 | 324 | 0.6742 | 0.7297 | 0.6742 | 0.8211 |
|
| 214 |
+
| No log | 4.7941 | 326 | 0.7556 | 0.6980 | 0.7556 | 0.8693 |
|
| 215 |
+
| No log | 4.8235 | 328 | 0.7860 | 0.6980 | 0.7860 | 0.8866 |
|
| 216 |
+
| No log | 4.8529 | 330 | 0.7459 | 0.6980 | 0.7459 | 0.8637 |
|
| 217 |
+
| No log | 4.8824 | 332 | 0.7437 | 0.7222 | 0.7437 | 0.8624 |
|
| 218 |
+
| No log | 4.9118 | 334 | 0.8359 | 0.6993 | 0.8359 | 0.9143 |
|
| 219 |
+
| No log | 4.9412 | 336 | 0.8533 | 0.6993 | 0.8533 | 0.9238 |
|
| 220 |
+
| No log | 4.9706 | 338 | 0.7572 | 0.7222 | 0.7572 | 0.8702 |
|
| 221 |
+
| No log | 5.0 | 340 | 0.6992 | 0.7383 | 0.6992 | 0.8362 |
|
| 222 |
+
| No log | 5.0294 | 342 | 0.6417 | 0.76 | 0.6417 | 0.8011 |
|
| 223 |
+
| No log | 5.0588 | 344 | 0.6322 | 0.7550 | 0.6322 | 0.7951 |
|
| 224 |
+
| No log | 5.0882 | 346 | 0.7314 | 0.7297 | 0.7314 | 0.8552 |
|
| 225 |
+
| No log | 5.1176 | 348 | 0.9230 | 0.7067 | 0.9230 | 0.9608 |
|
| 226 |
+
| No log | 5.1471 | 350 | 0.9531 | 0.7067 | 0.9531 | 0.9763 |
|
| 227 |
+
| No log | 5.1765 | 352 | 0.8595 | 0.7067 | 0.8595 | 0.9271 |
|
| 228 |
+
| No log | 5.2059 | 354 | 0.7495 | 0.7568 | 0.7495 | 0.8658 |
|
| 229 |
+
| No log | 5.2353 | 356 | 0.6563 | 0.8101 | 0.6563 | 0.8101 |
|
| 230 |
+
| No log | 5.2647 | 358 | 0.6607 | 0.7925 | 0.6607 | 0.8128 |
|
| 231 |
+
| No log | 5.2941 | 360 | 0.6206 | 0.7871 | 0.6206 | 0.7878 |
|
| 232 |
+
| No log | 5.3235 | 362 | 0.6342 | 0.7619 | 0.6342 | 0.7964 |
|
| 233 |
+
| No log | 5.3529 | 364 | 0.7461 | 0.7297 | 0.7461 | 0.8638 |
|
| 234 |
+
| No log | 5.3824 | 366 | 0.8153 | 0.6993 | 0.8153 | 0.9029 |
|
| 235 |
+
| No log | 5.4118 | 368 | 0.8234 | 0.6857 | 0.8234 | 0.9074 |
|
| 236 |
+
| No log | 5.4412 | 370 | 0.7971 | 0.6857 | 0.7971 | 0.8928 |
|
| 237 |
+
| No log | 5.4706 | 372 | 0.7923 | 0.6950 | 0.7923 | 0.8901 |
|
| 238 |
+
| No log | 5.5 | 374 | 0.8254 | 0.6857 | 0.8254 | 0.9085 |
|
| 239 |
+
| No log | 5.5294 | 376 | 0.9049 | 0.6232 | 0.9049 | 0.9513 |
|
| 240 |
+
| No log | 5.5588 | 378 | 1.0041 | 0.5839 | 1.0041 | 1.0021 |
|
| 241 |
+
| No log | 5.5882 | 380 | 0.9948 | 0.5672 | 0.9948 | 0.9974 |
|
| 242 |
+
| No log | 5.6176 | 382 | 0.8244 | 0.6897 | 0.8244 | 0.9080 |
|
| 243 |
+
| No log | 5.6471 | 384 | 0.7394 | 0.6944 | 0.7394 | 0.8599 |
|
| 244 |
+
| No log | 5.6765 | 386 | 0.8404 | 0.6713 | 0.8404 | 0.9168 |
|
| 245 |
+
| No log | 5.7059 | 388 | 0.9074 | 0.6761 | 0.9074 | 0.9526 |
|
| 246 |
+
| No log | 5.7353 | 390 | 0.8588 | 0.6522 | 0.8588 | 0.9267 |
|
| 247 |
+
| No log | 5.7647 | 392 | 0.8666 | 0.6094 | 0.8666 | 0.9309 |
|
| 248 |
+
| No log | 5.7941 | 394 | 0.9749 | 0.6154 | 0.9749 | 0.9874 |
|
| 249 |
+
| No log | 5.8235 | 396 | 1.0793 | 0.5522 | 1.0793 | 1.0389 |
|
| 250 |
+
| No log | 5.8529 | 398 | 1.0684 | 0.4964 | 1.0684 | 1.0336 |
|
| 251 |
+
| No log | 5.8824 | 400 | 0.9618 | 0.5865 | 0.9618 | 0.9807 |
|
| 252 |
+
| No log | 5.9118 | 402 | 0.8725 | 0.6714 | 0.8725 | 0.9341 |
|
| 253 |
+
| No log | 5.9412 | 404 | 0.8775 | 0.6761 | 0.8775 | 0.9368 |
|
| 254 |
+
| No log | 5.9706 | 406 | 0.9317 | 0.6667 | 0.9317 | 0.9652 |
|
| 255 |
+
| No log | 6.0 | 408 | 0.9727 | 0.6324 | 0.9727 | 0.9862 |
|
| 256 |
+
| No log | 6.0294 | 410 | 0.9735 | 0.6260 | 0.9735 | 0.9867 |
|
| 257 |
+
| No log | 6.0588 | 412 | 0.9939 | 0.544 | 0.9939 | 0.9969 |
|
| 258 |
+
| No log | 6.0882 | 414 | 1.0127 | 0.6 | 1.0127 | 1.0063 |
|
| 259 |
+
| No log | 6.1176 | 416 | 1.0716 | 0.5522 | 1.0716 | 1.0352 |
|
| 260 |
+
| No log | 6.1471 | 418 | 1.0259 | 0.5522 | 1.0259 | 1.0129 |
|
| 261 |
+
| No log | 6.1765 | 420 | 0.9080 | 0.6269 | 0.9080 | 0.9529 |
|
| 262 |
+
| No log | 6.2059 | 422 | 0.8445 | 0.6857 | 0.8445 | 0.9190 |
|
| 263 |
+
| No log | 6.2353 | 424 | 0.8171 | 0.7172 | 0.8171 | 0.9039 |
|
| 264 |
+
| No log | 6.2647 | 426 | 0.8139 | 0.6986 | 0.8139 | 0.9022 |
|
| 265 |
+
| No log | 6.2941 | 428 | 0.8260 | 0.7211 | 0.8260 | 0.9088 |
|
| 266 |
+
| No log | 6.3235 | 430 | 0.8731 | 0.6986 | 0.8731 | 0.9344 |
|
| 267 |
+
| No log | 6.3529 | 432 | 0.9828 | 0.6069 | 0.9828 | 0.9914 |
|
| 268 |
+
| No log | 6.3824 | 434 | 1.0061 | 0.5942 | 1.0061 | 1.0030 |
|
| 269 |
+
| No log | 6.4118 | 436 | 0.9684 | 0.6479 | 0.9684 | 0.9841 |
|
| 270 |
+
| No log | 6.4412 | 438 | 0.9477 | 0.6338 | 0.9477 | 0.9735 |
|
| 271 |
+
| No log | 6.4706 | 440 | 0.9395 | 0.6294 | 0.9395 | 0.9693 |
|
| 272 |
+
| No log | 6.5 | 442 | 0.9359 | 0.6621 | 0.9359 | 0.9674 |
|
| 273 |
+
| No log | 6.5294 | 444 | 0.9220 | 0.6438 | 0.9220 | 0.9602 |
|
| 274 |
+
| No log | 6.5588 | 446 | 0.9696 | 0.6345 | 0.9696 | 0.9847 |
|
| 275 |
+
| No log | 6.5882 | 448 | 1.0900 | 0.5857 | 1.0900 | 1.0440 |
|
| 276 |
+
| No log | 6.6176 | 450 | 1.0878 | 0.5693 | 1.0878 | 1.0430 |
|
| 277 |
+
| No log | 6.6471 | 452 | 0.9700 | 0.6222 | 0.9700 | 0.9849 |
|
| 278 |
+
| No log | 6.6765 | 454 | 0.8552 | 0.6866 | 0.8552 | 0.9248 |
|
| 279 |
+
| No log | 6.7059 | 456 | 0.8459 | 0.6963 | 0.8459 | 0.9197 |
|
| 280 |
+
| No log | 6.7353 | 458 | 0.8554 | 0.6818 | 0.8554 | 0.9249 |
|
| 281 |
+
| No log | 6.7647 | 460 | 0.8498 | 0.6963 | 0.8498 | 0.9218 |
|
| 282 |
+
| No log | 6.7941 | 462 | 0.8126 | 0.7429 | 0.8126 | 0.9014 |
|
| 283 |
+
| No log | 6.8235 | 464 | 0.7594 | 0.75 | 0.7594 | 0.8714 |
|
| 284 |
+
| No log | 6.8529 | 466 | 0.7451 | 0.7552 | 0.7451 | 0.8632 |
|
| 285 |
+
| No log | 6.8824 | 468 | 0.7828 | 0.7133 | 0.7828 | 0.8848 |
|
| 286 |
+
| No log | 6.9118 | 470 | 0.8521 | 0.7042 | 0.8521 | 0.9231 |
|
| 287 |
+
| No log | 6.9412 | 472 | 0.8301 | 0.7 | 0.8301 | 0.9111 |
|
| 288 |
+
| No log | 6.9706 | 474 | 0.7767 | 0.7194 | 0.7767 | 0.8813 |
|
| 289 |
+
| No log | 7.0 | 476 | 0.7368 | 0.7083 | 0.7368 | 0.8584 |
|
| 290 |
+
| No log | 7.0294 | 478 | 0.7112 | 0.7432 | 0.7112 | 0.8433 |
|
| 291 |
+
| No log | 7.0588 | 480 | 0.6886 | 0.7432 | 0.6886 | 0.8298 |
|
| 292 |
+
| No log | 7.0882 | 482 | 0.6995 | 0.7534 | 0.6995 | 0.8363 |
|
| 293 |
+
| No log | 7.1176 | 484 | 0.7376 | 0.7413 | 0.7376 | 0.8589 |
|
| 294 |
+
| No log | 7.1471 | 486 | 0.8128 | 0.7092 | 0.8128 | 0.9016 |
|
| 295 |
+
| No log | 7.1765 | 488 | 0.8498 | 0.6912 | 0.8498 | 0.9219 |
|
| 296 |
+
| No log | 7.2059 | 490 | 0.8720 | 0.6912 | 0.8720 | 0.9338 |
|
| 297 |
+
| No log | 7.2353 | 492 | 0.8929 | 0.7101 | 0.8929 | 0.9449 |
|
| 298 |
+
| No log | 7.2647 | 494 | 0.9076 | 0.7101 | 0.9076 | 0.9527 |
|
| 299 |
+
| No log | 7.2941 | 496 | 0.9353 | 0.7 | 0.9353 | 0.9671 |
|
| 300 |
+
| No log | 7.3235 | 498 | 0.9534 | 0.6944 | 0.9534 | 0.9764 |
|
| 301 |
+
| 0.4478 | 7.3529 | 500 | 0.9829 | 0.6667 | 0.9829 | 0.9914 |
|
| 302 |
+
| 0.4478 | 7.3824 | 502 | 0.9875 | 0.6667 | 0.9875 | 0.9937 |
|
| 303 |
+
| 0.4478 | 7.4118 | 504 | 0.9654 | 0.6434 | 0.9654 | 0.9825 |
|
| 304 |
+
| 0.4478 | 7.4412 | 506 | 0.9326 | 0.6944 | 0.9326 | 0.9657 |
|
| 305 |
+
| 0.4478 | 7.4706 | 508 | 0.8734 | 0.7183 | 0.8734 | 0.9345 |
|
| 306 |
+
| 0.4478 | 7.5 | 510 | 0.8374 | 0.7183 | 0.8374 | 0.9151 |
|
| 307 |
+
| 0.4478 | 7.5294 | 512 | 0.8439 | 0.7133 | 0.8439 | 0.9186 |
|
| 308 |
+
| 0.4478 | 7.5588 | 514 | 0.9028 | 0.6383 | 0.9028 | 0.9502 |
|
| 309 |
+
| 0.4478 | 7.5882 | 516 | 1.0412 | 0.5735 | 1.0412 | 1.0204 |
|
| 310 |
+
| 0.4478 | 7.6176 | 518 | 1.0448 | 0.6164 | 1.0448 | 1.0221 |
|
| 311 |
+
| 0.4478 | 7.6471 | 520 | 0.9576 | 0.6622 | 0.9576 | 0.9785 |
|
| 312 |
+
| 0.4478 | 7.6765 | 522 | 0.9060 | 0.6528 | 0.9059 | 0.9518 |
|
| 313 |
+
|
| 314 |
+
|
| 315 |
+
### Framework versions
|
| 316 |
+
|
| 317 |
+
- Transformers 4.44.2
|
| 318 |
+
- Pytorch 2.4.0+cu118
|
| 319 |
+
- Datasets 2.21.0
|
| 320 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
|
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|
|
|
|
|
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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 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:da8d9ecd1869bc150a93af76a182d55b8afec581023e1373c9cca0d6801c164e
|
| 3 |
+
size 540799996
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff6408bd8a0ba29237879d4c3b60b0d7c9eeebf297eb74462e1ce04c215c6bd9
|
| 3 |
+
size 5368
|