Training in progress, step 500
Browse files- README.md +314 -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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| 3 |
+
base_model: aubmindlab/bert-base-arabertv02
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| 4 |
+
tags:
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+
- generated_from_trainer
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| 6 |
+
model-index:
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| 7 |
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- name: ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k20_task7_organization
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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
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
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| 13 |
+
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| 14 |
+
# ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k20_task7_organization
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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 |
+
- Loss: 0.5460
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| 19 |
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- Qwk: 0.4774
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| 20 |
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- Mse: 0.5460
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| 21 |
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- Rmse: 0.7389
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| 22 |
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| 23 |
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## Model description
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| 24 |
+
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| 25 |
+
More information needed
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| 26 |
+
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| 27 |
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## Intended uses & limitations
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| 28 |
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| 29 |
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More information needed
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| 30 |
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## Training and evaluation data
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| 32 |
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| 33 |
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More information needed
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## Training procedure
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| 36 |
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| 37 |
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### Training hyperparameters
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| 39 |
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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| 41 |
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- train_batch_size: 8
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| 42 |
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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 |
+
### 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 |
+
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
|
| 52 |
+
| No log | 0.02 | 2 | 2.4336 | -0.0262 | 2.4336 | 1.5600 |
|
| 53 |
+
| No log | 0.04 | 4 | 1.1177 | 0.1251 | 1.1177 | 1.0572 |
|
| 54 |
+
| No log | 0.06 | 6 | 0.7027 | 0.1321 | 0.7027 | 0.8383 |
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| 55 |
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| No log | 0.08 | 8 | 0.6669 | 0.1846 | 0.6669 | 0.8166 |
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| 56 |
+
| No log | 0.1 | 10 | 0.8837 | 0.3455 | 0.8837 | 0.9400 |
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| 57 |
+
| No log | 0.12 | 12 | 1.2123 | 0.1283 | 1.2123 | 1.1011 |
|
| 58 |
+
| No log | 0.14 | 14 | 1.0419 | 0.1621 | 1.0419 | 1.0207 |
|
| 59 |
+
| No log | 0.16 | 16 | 0.9212 | 0.2183 | 0.9212 | 0.9598 |
|
| 60 |
+
| No log | 0.18 | 18 | 0.9159 | 0.2316 | 0.9159 | 0.9570 |
|
| 61 |
+
| No log | 0.2 | 20 | 0.8530 | 0.3819 | 0.8530 | 0.9236 |
|
| 62 |
+
| No log | 0.22 | 22 | 0.7369 | 0.1617 | 0.7369 | 0.8584 |
|
| 63 |
+
| No log | 0.24 | 24 | 0.6641 | 0.0937 | 0.6641 | 0.8149 |
|
| 64 |
+
| No log | 0.26 | 26 | 0.6216 | 0.2142 | 0.6216 | 0.7884 |
|
| 65 |
+
| No log | 0.28 | 28 | 0.5442 | 0.4314 | 0.5442 | 0.7377 |
|
| 66 |
+
| No log | 0.3 | 30 | 0.5884 | 0.3831 | 0.5884 | 0.7671 |
|
| 67 |
+
| No log | 0.32 | 32 | 0.6476 | 0.5083 | 0.6476 | 0.8047 |
|
| 68 |
+
| No log | 0.34 | 34 | 0.5482 | 0.4888 | 0.5482 | 0.7404 |
|
| 69 |
+
| No log | 0.36 | 36 | 0.4813 | 0.6052 | 0.4813 | 0.6937 |
|
| 70 |
+
| No log | 0.38 | 38 | 0.5166 | 0.5498 | 0.5166 | 0.7187 |
|
| 71 |
+
| No log | 0.4 | 40 | 0.5304 | 0.5877 | 0.5304 | 0.7283 |
|
| 72 |
+
| No log | 0.42 | 42 | 0.8805 | 0.3262 | 0.8805 | 0.9383 |
|
| 73 |
+
| No log | 0.44 | 44 | 0.8463 | 0.3322 | 0.8463 | 0.9200 |
|
| 74 |
+
| No log | 0.46 | 46 | 0.5334 | 0.5452 | 0.5334 | 0.7304 |
|
| 75 |
+
| No log | 0.48 | 48 | 0.6184 | 0.5481 | 0.6184 | 0.7864 |
|
| 76 |
+
| No log | 0.5 | 50 | 0.8713 | 0.3790 | 0.8713 | 0.9334 |
|
| 77 |
+
| No log | 0.52 | 52 | 0.6121 | 0.5378 | 0.6121 | 0.7824 |
|
| 78 |
+
| No log | 0.54 | 54 | 0.4697 | 0.5617 | 0.4697 | 0.6854 |
|
| 79 |
+
| No log | 0.56 | 56 | 0.6125 | 0.5152 | 0.6125 | 0.7826 |
|
| 80 |
+
| No log | 0.58 | 58 | 0.6373 | 0.4589 | 0.6373 | 0.7983 |
|
| 81 |
+
| No log | 0.6 | 60 | 0.5841 | 0.4322 | 0.5841 | 0.7642 |
|
| 82 |
+
| No log | 0.62 | 62 | 0.5709 | 0.4662 | 0.5709 | 0.7556 |
|
| 83 |
+
| No log | 0.64 | 64 | 0.8000 | 0.4951 | 0.8000 | 0.8944 |
|
| 84 |
+
| No log | 0.66 | 66 | 1.0245 | 0.4011 | 1.0245 | 1.0122 |
|
| 85 |
+
| No log | 0.68 | 68 | 0.7877 | 0.5310 | 0.7877 | 0.8875 |
|
| 86 |
+
| No log | 0.7 | 70 | 0.5326 | 0.4596 | 0.5326 | 0.7298 |
|
| 87 |
+
| No log | 0.72 | 72 | 0.5103 | 0.4448 | 0.5103 | 0.7144 |
|
| 88 |
+
| No log | 0.74 | 74 | 0.5131 | 0.4561 | 0.5131 | 0.7163 |
|
| 89 |
+
| No log | 0.76 | 76 | 0.4900 | 0.4838 | 0.4900 | 0.7000 |
|
| 90 |
+
| No log | 0.78 | 78 | 0.4794 | 0.5457 | 0.4794 | 0.6924 |
|
| 91 |
+
| No log | 0.8 | 80 | 0.5166 | 0.5571 | 0.5166 | 0.7187 |
|
| 92 |
+
| No log | 0.82 | 82 | 0.5016 | 0.5798 | 0.5016 | 0.7083 |
|
| 93 |
+
| No log | 0.84 | 84 | 0.5150 | 0.6353 | 0.5150 | 0.7176 |
|
| 94 |
+
| No log | 0.86 | 86 | 0.6014 | 0.4638 | 0.6014 | 0.7755 |
|
| 95 |
+
| No log | 0.88 | 88 | 0.6618 | 0.4794 | 0.6618 | 0.8135 |
|
| 96 |
+
| No log | 0.9 | 90 | 0.5386 | 0.6222 | 0.5386 | 0.7339 |
|
| 97 |
+
| No log | 0.92 | 92 | 0.6051 | 0.5765 | 0.6051 | 0.7779 |
|
| 98 |
+
| No log | 0.94 | 94 | 0.6192 | 0.6367 | 0.6192 | 0.7869 |
|
| 99 |
+
| No log | 0.96 | 96 | 0.6490 | 0.5742 | 0.6490 | 0.8056 |
|
| 100 |
+
| No log | 0.98 | 98 | 0.8902 | 0.4576 | 0.8902 | 0.9435 |
|
| 101 |
+
| No log | 1.0 | 100 | 0.9072 | 0.4386 | 0.9072 | 0.9525 |
|
| 102 |
+
| No log | 1.02 | 102 | 0.6718 | 0.5213 | 0.6718 | 0.8196 |
|
| 103 |
+
| No log | 1.04 | 104 | 0.5507 | 0.5589 | 0.5507 | 0.7421 |
|
| 104 |
+
| No log | 1.06 | 106 | 0.5274 | 0.5476 | 0.5274 | 0.7262 |
|
| 105 |
+
| No log | 1.08 | 108 | 0.5014 | 0.5231 | 0.5014 | 0.7081 |
|
| 106 |
+
| No log | 1.1 | 110 | 0.4889 | 0.6275 | 0.4889 | 0.6992 |
|
| 107 |
+
| No log | 1.12 | 112 | 0.4941 | 0.5226 | 0.4941 | 0.7029 |
|
| 108 |
+
| No log | 1.1400 | 114 | 0.5404 | 0.5576 | 0.5404 | 0.7351 |
|
| 109 |
+
| No log | 1.16 | 116 | 0.5000 | 0.5827 | 0.5000 | 0.7071 |
|
| 110 |
+
| No log | 1.18 | 118 | 0.5057 | 0.5705 | 0.5057 | 0.7111 |
|
| 111 |
+
| No log | 1.2 | 120 | 0.4649 | 0.6554 | 0.4649 | 0.6818 |
|
| 112 |
+
| No log | 1.22 | 122 | 0.5905 | 0.5415 | 0.5905 | 0.7685 |
|
| 113 |
+
| No log | 1.24 | 124 | 0.6216 | 0.5474 | 0.6216 | 0.7884 |
|
| 114 |
+
| No log | 1.26 | 126 | 0.5379 | 0.5452 | 0.5379 | 0.7334 |
|
| 115 |
+
| No log | 1.28 | 128 | 0.5202 | 0.5150 | 0.5202 | 0.7213 |
|
| 116 |
+
| No log | 1.3 | 130 | 0.5333 | 0.5034 | 0.5333 | 0.7303 |
|
| 117 |
+
| No log | 1.32 | 132 | 0.5977 | 0.5455 | 0.5977 | 0.7731 |
|
| 118 |
+
| No log | 1.34 | 134 | 0.6683 | 0.5508 | 0.6683 | 0.8175 |
|
| 119 |
+
| No log | 1.3600 | 136 | 0.5604 | 0.5291 | 0.5604 | 0.7486 |
|
| 120 |
+
| No log | 1.38 | 138 | 0.5166 | 0.4473 | 0.5166 | 0.7188 |
|
| 121 |
+
| No log | 1.4 | 140 | 0.4885 | 0.4857 | 0.4885 | 0.6989 |
|
| 122 |
+
| No log | 1.42 | 142 | 0.5161 | 0.4507 | 0.5161 | 0.7184 |
|
| 123 |
+
| No log | 1.44 | 144 | 0.5903 | 0.5687 | 0.5903 | 0.7683 |
|
| 124 |
+
| No log | 1.46 | 146 | 0.5110 | 0.4997 | 0.5110 | 0.7149 |
|
| 125 |
+
| No log | 1.48 | 148 | 0.5085 | 0.5722 | 0.5085 | 0.7131 |
|
| 126 |
+
| No log | 1.5 | 150 | 0.6388 | 0.5970 | 0.6388 | 0.7992 |
|
| 127 |
+
| No log | 1.52 | 152 | 0.5558 | 0.5927 | 0.5558 | 0.7455 |
|
| 128 |
+
| No log | 1.54 | 154 | 0.4846 | 0.4954 | 0.4846 | 0.6961 |
|
| 129 |
+
| No log | 1.56 | 156 | 0.5322 | 0.5599 | 0.5322 | 0.7295 |
|
| 130 |
+
| No log | 1.58 | 158 | 0.7361 | 0.4338 | 0.7361 | 0.8579 |
|
| 131 |
+
| No log | 1.6 | 160 | 0.7054 | 0.4815 | 0.7054 | 0.8399 |
|
| 132 |
+
| No log | 1.62 | 162 | 0.5173 | 0.6181 | 0.5173 | 0.7192 |
|
| 133 |
+
| No log | 1.6400 | 164 | 0.5233 | 0.6189 | 0.5233 | 0.7234 |
|
| 134 |
+
| No log | 1.6600 | 166 | 0.8778 | 0.5501 | 0.8778 | 0.9369 |
|
| 135 |
+
| No log | 1.6800 | 168 | 0.9912 | 0.4633 | 0.9912 | 0.9956 |
|
| 136 |
+
| No log | 1.7 | 170 | 0.8150 | 0.5157 | 0.8150 | 0.9028 |
|
| 137 |
+
| No log | 1.72 | 172 | 0.5731 | 0.5857 | 0.5731 | 0.7570 |
|
| 138 |
+
| No log | 1.74 | 174 | 0.4673 | 0.5413 | 0.4673 | 0.6836 |
|
| 139 |
+
| No log | 1.76 | 176 | 0.5112 | 0.5868 | 0.5112 | 0.7150 |
|
| 140 |
+
| No log | 1.78 | 178 | 0.5368 | 0.5678 | 0.5368 | 0.7327 |
|
| 141 |
+
| No log | 1.8 | 180 | 0.5065 | 0.6101 | 0.5065 | 0.7117 |
|
| 142 |
+
| No log | 1.8200 | 182 | 0.5677 | 0.5161 | 0.5677 | 0.7535 |
|
| 143 |
+
| No log | 1.8400 | 184 | 0.6485 | 0.5251 | 0.6485 | 0.8053 |
|
| 144 |
+
| No log | 1.8600 | 186 | 0.6607 | 0.5062 | 0.6607 | 0.8128 |
|
| 145 |
+
| No log | 1.88 | 188 | 0.6159 | 0.5323 | 0.6159 | 0.7848 |
|
| 146 |
+
| No log | 1.9 | 190 | 0.5391 | 0.4872 | 0.5391 | 0.7342 |
|
| 147 |
+
| No log | 1.92 | 192 | 0.5168 | 0.5133 | 0.5168 | 0.7189 |
|
| 148 |
+
| No log | 1.94 | 194 | 0.5070 | 0.5061 | 0.5070 | 0.7120 |
|
| 149 |
+
| No log | 1.96 | 196 | 0.5092 | 0.5042 | 0.5092 | 0.7136 |
|
| 150 |
+
| No log | 1.98 | 198 | 0.5705 | 0.4582 | 0.5705 | 0.7553 |
|
| 151 |
+
| No log | 2.0 | 200 | 0.6946 | 0.5310 | 0.6946 | 0.8334 |
|
| 152 |
+
| No log | 2.02 | 202 | 0.6341 | 0.5124 | 0.6341 | 0.7963 |
|
| 153 |
+
| No log | 2.04 | 204 | 0.5996 | 0.6131 | 0.5996 | 0.7743 |
|
| 154 |
+
| No log | 2.06 | 206 | 0.6785 | 0.5581 | 0.6785 | 0.8237 |
|
| 155 |
+
| No log | 2.08 | 208 | 0.5603 | 0.5863 | 0.5603 | 0.7485 |
|
| 156 |
+
| No log | 2.1 | 210 | 0.4828 | 0.6242 | 0.4828 | 0.6948 |
|
| 157 |
+
| No log | 2.12 | 212 | 0.4738 | 0.5397 | 0.4738 | 0.6883 |
|
| 158 |
+
| No log | 2.14 | 214 | 0.4622 | 0.5003 | 0.4622 | 0.6798 |
|
| 159 |
+
| No log | 2.16 | 216 | 0.4613 | 0.4895 | 0.4613 | 0.6792 |
|
| 160 |
+
| No log | 2.18 | 218 | 0.5422 | 0.5609 | 0.5422 | 0.7364 |
|
| 161 |
+
| No log | 2.2 | 220 | 0.5679 | 0.5609 | 0.5679 | 0.7536 |
|
| 162 |
+
| No log | 2.22 | 222 | 0.5358 | 0.5373 | 0.5358 | 0.7320 |
|
| 163 |
+
| No log | 2.24 | 224 | 0.4739 | 0.5715 | 0.4739 | 0.6884 |
|
| 164 |
+
| No log | 2.26 | 226 | 0.4894 | 0.5479 | 0.4894 | 0.6996 |
|
| 165 |
+
| No log | 2.2800 | 228 | 0.4965 | 0.4762 | 0.4965 | 0.7046 |
|
| 166 |
+
| No log | 2.3 | 230 | 0.5071 | 0.4888 | 0.5071 | 0.7121 |
|
| 167 |
+
| No log | 2.32 | 232 | 0.6275 | 0.5085 | 0.6275 | 0.7922 |
|
| 168 |
+
| No log | 2.34 | 234 | 0.6429 | 0.4933 | 0.6429 | 0.8018 |
|
| 169 |
+
| No log | 2.36 | 236 | 0.5460 | 0.5131 | 0.5460 | 0.7389 |
|
| 170 |
+
| No log | 2.38 | 238 | 0.4982 | 0.4962 | 0.4982 | 0.7059 |
|
| 171 |
+
| No log | 2.4 | 240 | 0.5455 | 0.3754 | 0.5455 | 0.7386 |
|
| 172 |
+
| No log | 2.42 | 242 | 0.5730 | 0.4204 | 0.5730 | 0.7569 |
|
| 173 |
+
| No log | 2.44 | 244 | 0.5306 | 0.5127 | 0.5306 | 0.7284 |
|
| 174 |
+
| No log | 2.46 | 246 | 0.4739 | 0.5286 | 0.4739 | 0.6884 |
|
| 175 |
+
| No log | 2.48 | 248 | 0.4972 | 0.5125 | 0.4972 | 0.7051 |
|
| 176 |
+
| No log | 2.5 | 250 | 0.5733 | 0.5692 | 0.5733 | 0.7572 |
|
| 177 |
+
| No log | 2.52 | 252 | 0.5502 | 0.5814 | 0.5502 | 0.7418 |
|
| 178 |
+
| No log | 2.54 | 254 | 0.5114 | 0.5190 | 0.5114 | 0.7151 |
|
| 179 |
+
| No log | 2.56 | 256 | 0.4824 | 0.4828 | 0.4824 | 0.6946 |
|
| 180 |
+
| No log | 2.58 | 258 | 0.4908 | 0.4945 | 0.4908 | 0.7006 |
|
| 181 |
+
| No log | 2.6 | 260 | 0.5071 | 0.5233 | 0.5071 | 0.7121 |
|
| 182 |
+
| No log | 2.62 | 262 | 0.5454 | 0.4959 | 0.5454 | 0.7385 |
|
| 183 |
+
| No log | 2.64 | 264 | 0.5076 | 0.4782 | 0.5076 | 0.7125 |
|
| 184 |
+
| No log | 2.66 | 266 | 0.4674 | 0.5703 | 0.4674 | 0.6837 |
|
| 185 |
+
| No log | 2.68 | 268 | 0.4661 | 0.5446 | 0.4661 | 0.6827 |
|
| 186 |
+
| No log | 2.7 | 270 | 0.4709 | 0.5943 | 0.4709 | 0.6862 |
|
| 187 |
+
| No log | 2.7200 | 272 | 0.5029 | 0.5822 | 0.5029 | 0.7091 |
|
| 188 |
+
| No log | 2.74 | 274 | 0.4940 | 0.6143 | 0.4940 | 0.7029 |
|
| 189 |
+
| No log | 2.76 | 276 | 0.4947 | 0.6052 | 0.4947 | 0.7034 |
|
| 190 |
+
| No log | 2.7800 | 278 | 0.5029 | 0.6052 | 0.5029 | 0.7092 |
|
| 191 |
+
| No log | 2.8 | 280 | 0.5189 | 0.6341 | 0.5189 | 0.7204 |
|
| 192 |
+
| No log | 2.82 | 282 | 0.5380 | 0.5884 | 0.5380 | 0.7335 |
|
| 193 |
+
| No log | 2.84 | 284 | 0.5818 | 0.5096 | 0.5818 | 0.7627 |
|
| 194 |
+
| No log | 2.86 | 286 | 0.5932 | 0.4893 | 0.5932 | 0.7702 |
|
| 195 |
+
| No log | 2.88 | 288 | 0.6177 | 0.4759 | 0.6177 | 0.7859 |
|
| 196 |
+
| No log | 2.9 | 290 | 0.6082 | 0.4964 | 0.6082 | 0.7798 |
|
| 197 |
+
| No log | 2.92 | 292 | 0.6086 | 0.4964 | 0.6086 | 0.7801 |
|
| 198 |
+
| No log | 2.94 | 294 | 0.5151 | 0.5086 | 0.5151 | 0.7177 |
|
| 199 |
+
| No log | 2.96 | 296 | 0.4882 | 0.5327 | 0.4882 | 0.6987 |
|
| 200 |
+
| No log | 2.98 | 298 | 0.4704 | 0.5034 | 0.4704 | 0.6858 |
|
| 201 |
+
| No log | 3.0 | 300 | 0.4879 | 0.5086 | 0.4879 | 0.6985 |
|
| 202 |
+
| No log | 3.02 | 302 | 0.5181 | 0.5712 | 0.5181 | 0.7198 |
|
| 203 |
+
| No log | 3.04 | 304 | 0.4900 | 0.5682 | 0.4900 | 0.7000 |
|
| 204 |
+
| No log | 3.06 | 306 | 0.4720 | 0.6382 | 0.4720 | 0.6870 |
|
| 205 |
+
| No log | 3.08 | 308 | 0.5000 | 0.5524 | 0.5000 | 0.7071 |
|
| 206 |
+
| No log | 3.1 | 310 | 0.5000 | 0.5592 | 0.5000 | 0.7071 |
|
| 207 |
+
| No log | 3.12 | 312 | 0.4885 | 0.5936 | 0.4885 | 0.6989 |
|
| 208 |
+
| No log | 3.14 | 314 | 0.5164 | 0.5326 | 0.5164 | 0.7186 |
|
| 209 |
+
| No log | 3.16 | 316 | 0.6109 | 0.5190 | 0.6109 | 0.7816 |
|
| 210 |
+
| No log | 3.18 | 318 | 0.6291 | 0.4795 | 0.6291 | 0.7932 |
|
| 211 |
+
| No log | 3.2 | 320 | 0.6128 | 0.4884 | 0.6128 | 0.7828 |
|
| 212 |
+
| No log | 3.22 | 322 | 0.6407 | 0.4940 | 0.6407 | 0.8005 |
|
| 213 |
+
| No log | 3.24 | 324 | 0.6600 | 0.4930 | 0.6600 | 0.8124 |
|
| 214 |
+
| No log | 3.26 | 326 | 0.6784 | 0.5295 | 0.6784 | 0.8236 |
|
| 215 |
+
| No log | 3.2800 | 328 | 0.5590 | 0.5131 | 0.5590 | 0.7477 |
|
| 216 |
+
| No log | 3.3 | 330 | 0.4872 | 0.3763 | 0.4872 | 0.6980 |
|
| 217 |
+
| No log | 3.32 | 332 | 0.4901 | 0.4878 | 0.4901 | 0.7001 |
|
| 218 |
+
| No log | 3.34 | 334 | 0.4911 | 0.5213 | 0.4911 | 0.7008 |
|
| 219 |
+
| No log | 3.36 | 336 | 0.5213 | 0.5081 | 0.5213 | 0.7220 |
|
| 220 |
+
| No log | 3.38 | 338 | 0.5777 | 0.5562 | 0.5777 | 0.7601 |
|
| 221 |
+
| No log | 3.4 | 340 | 0.5336 | 0.5140 | 0.5336 | 0.7305 |
|
| 222 |
+
| No log | 3.42 | 342 | 0.5038 | 0.4642 | 0.5038 | 0.7098 |
|
| 223 |
+
| No log | 3.44 | 344 | 0.5023 | 0.4639 | 0.5023 | 0.7087 |
|
| 224 |
+
| No log | 3.46 | 346 | 0.5104 | 0.4314 | 0.5104 | 0.7144 |
|
| 225 |
+
| No log | 3.48 | 348 | 0.5118 | 0.4402 | 0.5118 | 0.7154 |
|
| 226 |
+
| No log | 3.5 | 350 | 0.5259 | 0.3919 | 0.5259 | 0.7252 |
|
| 227 |
+
| No log | 3.52 | 352 | 0.6353 | 0.4815 | 0.6353 | 0.7970 |
|
| 228 |
+
| No log | 3.54 | 354 | 0.7651 | 0.4541 | 0.7651 | 0.8747 |
|
| 229 |
+
| No log | 3.56 | 356 | 0.7617 | 0.4347 | 0.7617 | 0.8727 |
|
| 230 |
+
| No log | 3.58 | 358 | 0.6819 | 0.4959 | 0.6819 | 0.8258 |
|
| 231 |
+
| No log | 3.6 | 360 | 0.6344 | 0.5113 | 0.6344 | 0.7965 |
|
| 232 |
+
| No log | 3.62 | 362 | 0.5907 | 0.5131 | 0.5907 | 0.7686 |
|
| 233 |
+
| No log | 3.64 | 364 | 0.5699 | 0.5219 | 0.5699 | 0.7549 |
|
| 234 |
+
| No log | 3.66 | 366 | 0.5659 | 0.5219 | 0.5659 | 0.7523 |
|
| 235 |
+
| No log | 3.68 | 368 | 0.5448 | 0.5349 | 0.5448 | 0.7381 |
|
| 236 |
+
| No log | 3.7 | 370 | 0.5420 | 0.5111 | 0.5420 | 0.7362 |
|
| 237 |
+
| No log | 3.7200 | 372 | 0.5440 | 0.5111 | 0.5440 | 0.7376 |
|
| 238 |
+
| No log | 3.74 | 374 | 0.5328 | 0.4459 | 0.5328 | 0.7299 |
|
| 239 |
+
| No log | 3.76 | 376 | 0.5608 | 0.4315 | 0.5608 | 0.7489 |
|
| 240 |
+
| No log | 3.7800 | 378 | 0.6015 | 0.4606 | 0.6015 | 0.7756 |
|
| 241 |
+
| No log | 3.8 | 380 | 0.6127 | 0.4819 | 0.6127 | 0.7827 |
|
| 242 |
+
| No log | 3.82 | 382 | 0.6607 | 0.5027 | 0.6607 | 0.8128 |
|
| 243 |
+
| No log | 3.84 | 384 | 0.6560 | 0.5027 | 0.6560 | 0.8099 |
|
| 244 |
+
| No log | 3.86 | 386 | 0.6135 | 0.4892 | 0.6135 | 0.7833 |
|
| 245 |
+
| No log | 3.88 | 388 | 0.5263 | 0.4437 | 0.5263 | 0.7255 |
|
| 246 |
+
| No log | 3.9 | 390 | 0.5103 | 0.4402 | 0.5103 | 0.7143 |
|
| 247 |
+
| No log | 3.92 | 392 | 0.5171 | 0.5028 | 0.5171 | 0.7191 |
|
| 248 |
+
| No log | 3.94 | 394 | 0.5051 | 0.4229 | 0.5051 | 0.7107 |
|
| 249 |
+
| No log | 3.96 | 396 | 0.5341 | 0.4875 | 0.5341 | 0.7308 |
|
| 250 |
+
| No log | 3.98 | 398 | 0.6487 | 0.5325 | 0.6487 | 0.8054 |
|
| 251 |
+
| No log | 4.0 | 400 | 0.6871 | 0.5295 | 0.6871 | 0.8289 |
|
| 252 |
+
| No log | 4.02 | 402 | 0.6139 | 0.4978 | 0.6139 | 0.7835 |
|
| 253 |
+
| No log | 4.04 | 404 | 0.5173 | 0.4795 | 0.5173 | 0.7192 |
|
| 254 |
+
| No log | 4.06 | 406 | 0.5236 | 0.3988 | 0.5236 | 0.7236 |
|
| 255 |
+
| No log | 4.08 | 408 | 0.5491 | 0.5065 | 0.5491 | 0.7410 |
|
| 256 |
+
| No log | 4.1 | 410 | 0.5365 | 0.5110 | 0.5365 | 0.7324 |
|
| 257 |
+
| No log | 4.12 | 412 | 0.5256 | 0.4206 | 0.5256 | 0.7250 |
|
| 258 |
+
| No log | 4.14 | 414 | 0.6206 | 0.5326 | 0.6206 | 0.7878 |
|
| 259 |
+
| No log | 4.16 | 416 | 0.7311 | 0.4601 | 0.7311 | 0.8550 |
|
| 260 |
+
| No log | 4.18 | 418 | 0.7374 | 0.4462 | 0.7374 | 0.8587 |
|
| 261 |
+
| No log | 4.2 | 420 | 0.6355 | 0.4815 | 0.6355 | 0.7972 |
|
| 262 |
+
| No log | 4.22 | 422 | 0.5739 | 0.3840 | 0.5739 | 0.7576 |
|
| 263 |
+
| No log | 4.24 | 424 | 0.5675 | 0.3919 | 0.5675 | 0.7533 |
|
| 264 |
+
| No log | 4.26 | 426 | 0.5719 | 0.3840 | 0.5719 | 0.7563 |
|
| 265 |
+
| No log | 4.28 | 428 | 0.6036 | 0.4835 | 0.6036 | 0.7769 |
|
| 266 |
+
| No log | 4.3 | 430 | 0.6301 | 0.4979 | 0.6301 | 0.7938 |
|
| 267 |
+
| No log | 4.32 | 432 | 0.5941 | 0.4270 | 0.5941 | 0.7708 |
|
| 268 |
+
| No log | 4.34 | 434 | 0.5668 | 0.3688 | 0.5668 | 0.7529 |
|
| 269 |
+
| No log | 4.36 | 436 | 0.5820 | 0.4905 | 0.5820 | 0.7629 |
|
| 270 |
+
| No log | 4.38 | 438 | 0.5967 | 0.4815 | 0.5967 | 0.7725 |
|
| 271 |
+
| No log | 4.4 | 440 | 0.6562 | 0.5183 | 0.6562 | 0.8101 |
|
| 272 |
+
| No log | 4.42 | 442 | 0.6859 | 0.4404 | 0.6859 | 0.8282 |
|
| 273 |
+
| No log | 4.44 | 444 | 0.6350 | 0.4959 | 0.6350 | 0.7969 |
|
| 274 |
+
| No log | 4.46 | 446 | 0.5644 | 0.3688 | 0.5644 | 0.7512 |
|
| 275 |
+
| No log | 4.48 | 448 | 0.5244 | 0.5344 | 0.5244 | 0.7242 |
|
| 276 |
+
| No log | 4.5 | 450 | 0.5298 | 0.5160 | 0.5298 | 0.7279 |
|
| 277 |
+
| No log | 4.52 | 452 | 0.5242 | 0.4809 | 0.5242 | 0.7240 |
|
| 278 |
+
| No log | 4.54 | 454 | 0.5335 | 0.4569 | 0.5335 | 0.7304 |
|
| 279 |
+
| No log | 4.5600 | 456 | 0.6017 | 0.4574 | 0.6017 | 0.7757 |
|
| 280 |
+
| No log | 4.58 | 458 | 0.6588 | 0.5665 | 0.6588 | 0.8117 |
|
| 281 |
+
| No log | 4.6 | 460 | 0.6455 | 0.5665 | 0.6455 | 0.8035 |
|
| 282 |
+
| No log | 4.62 | 462 | 0.5768 | 0.4502 | 0.5768 | 0.7595 |
|
| 283 |
+
| No log | 4.64 | 464 | 0.5252 | 0.4027 | 0.5252 | 0.7247 |
|
| 284 |
+
| No log | 4.66 | 466 | 0.5270 | 0.4857 | 0.5270 | 0.7260 |
|
| 285 |
+
| No log | 4.68 | 468 | 0.5328 | 0.3728 | 0.5328 | 0.7299 |
|
| 286 |
+
| No log | 4.7 | 470 | 0.5522 | 0.3701 | 0.5522 | 0.7431 |
|
| 287 |
+
| No log | 4.72 | 472 | 0.5794 | 0.4592 | 0.5794 | 0.7612 |
|
| 288 |
+
| No log | 4.74 | 474 | 0.5950 | 0.5233 | 0.5950 | 0.7714 |
|
| 289 |
+
| No log | 4.76 | 476 | 0.6270 | 0.5048 | 0.6270 | 0.7918 |
|
| 290 |
+
| No log | 4.78 | 478 | 0.6646 | 0.5249 | 0.6646 | 0.8152 |
|
| 291 |
+
| No log | 4.8 | 480 | 0.6558 | 0.5249 | 0.6558 | 0.8098 |
|
| 292 |
+
| No log | 4.82 | 482 | 0.6476 | 0.5249 | 0.6476 | 0.8047 |
|
| 293 |
+
| No log | 4.84 | 484 | 0.6499 | 0.5548 | 0.6499 | 0.8062 |
|
| 294 |
+
| No log | 4.86 | 486 | 0.6366 | 0.5418 | 0.6366 | 0.7979 |
|
| 295 |
+
| No log | 4.88 | 488 | 0.6159 | 0.5233 | 0.6159 | 0.7848 |
|
| 296 |
+
| No log | 4.9 | 490 | 0.5684 | 0.3976 | 0.5684 | 0.7540 |
|
| 297 |
+
| No log | 4.92 | 492 | 0.5504 | 0.3701 | 0.5504 | 0.7419 |
|
| 298 |
+
| No log | 4.9400 | 494 | 0.5266 | 0.4768 | 0.5266 | 0.7257 |
|
| 299 |
+
| No log | 4.96 | 496 | 0.5216 | 0.5133 | 0.5216 | 0.7222 |
|
| 300 |
+
| No log | 4.98 | 498 | 0.5291 | 0.4719 | 0.5291 | 0.7274 |
|
| 301 |
+
| 0.3244 | 5.0 | 500 | 0.5346 | 0.5125 | 0.5346 | 0.7312 |
|
| 302 |
+
| 0.3244 | 5.02 | 502 | 0.5547 | 0.4845 | 0.5547 | 0.7448 |
|
| 303 |
+
| 0.3244 | 5.04 | 504 | 0.5754 | 0.5101 | 0.5754 | 0.7585 |
|
| 304 |
+
| 0.3244 | 5.06 | 506 | 0.5656 | 0.4335 | 0.5656 | 0.7520 |
|
| 305 |
+
| 0.3244 | 5.08 | 508 | 0.5544 | 0.4134 | 0.5544 | 0.7446 |
|
| 306 |
+
| 0.3244 | 5.1 | 510 | 0.5460 | 0.4774 | 0.5460 | 0.7389 |
|
| 307 |
+
|
| 308 |
+
|
| 309 |
+
### Framework versions
|
| 310 |
+
|
| 311 |
+
- Transformers 4.44.2
|
| 312 |
+
- Pytorch 2.4.0+cu118
|
| 313 |
+
- Datasets 2.21.0
|
| 314 |
+
- Tokenizers 0.19.1
|
config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 sha256:4740f5e1227c09e9262dc5f9a2f59ab0bacc3272206ba5c377522a1403c989e5
|
| 3 |
+
size 540799996
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
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