Training in progress, step 500
Browse files- README.md +326 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,326 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_task1_organization
|
| 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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k10_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: 0.6984
|
| 19 |
+
- Qwk: 0.7273
|
| 20 |
+
- Mse: 0.6984
|
| 21 |
+
- Rmse: 0.8357
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 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
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 100
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|
| 51 |
+
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|:------:|
|
| 52 |
+
| No log | 0.0392 | 2 | 6.6028 | 0.0 | 6.6028 | 2.5696 |
|
| 53 |
+
| No log | 0.0784 | 4 | 4.1993 | 0.0711 | 4.1993 | 2.0492 |
|
| 54 |
+
| No log | 0.1176 | 6 | 3.1736 | -0.0231 | 3.1736 | 1.7814 |
|
| 55 |
+
| No log | 0.1569 | 8 | 2.6906 | 0.1103 | 2.6906 | 1.6403 |
|
| 56 |
+
| No log | 0.1961 | 10 | 2.8128 | 0.0129 | 2.8128 | 1.6771 |
|
| 57 |
+
| No log | 0.2353 | 12 | 2.0565 | 0.1000 | 2.0565 | 1.4341 |
|
| 58 |
+
| No log | 0.2745 | 14 | 1.7862 | 0.1284 | 1.7862 | 1.3365 |
|
| 59 |
+
| No log | 0.3137 | 16 | 1.6607 | 0.1468 | 1.6607 | 1.2887 |
|
| 60 |
+
| No log | 0.3529 | 18 | 1.7087 | 0.1509 | 1.7087 | 1.3072 |
|
| 61 |
+
| No log | 0.3922 | 20 | 1.7504 | 0.3419 | 1.7504 | 1.3230 |
|
| 62 |
+
| No log | 0.4314 | 22 | 1.8460 | 0.3485 | 1.8460 | 1.3587 |
|
| 63 |
+
| No log | 0.4706 | 24 | 1.7912 | 0.4296 | 1.7912 | 1.3384 |
|
| 64 |
+
| No log | 0.5098 | 26 | 1.6375 | 0.4 | 1.6375 | 1.2796 |
|
| 65 |
+
| No log | 0.5490 | 28 | 1.5399 | 0.4032 | 1.5399 | 1.2409 |
|
| 66 |
+
| No log | 0.5882 | 30 | 1.3746 | 0.4320 | 1.3746 | 1.1724 |
|
| 67 |
+
| No log | 0.6275 | 32 | 1.7295 | 0.3851 | 1.7295 | 1.3151 |
|
| 68 |
+
| No log | 0.6667 | 34 | 3.4666 | 0.1983 | 3.4666 | 1.8619 |
|
| 69 |
+
| No log | 0.7059 | 36 | 3.4095 | 0.2185 | 3.4095 | 1.8465 |
|
| 70 |
+
| No log | 0.7451 | 38 | 1.9853 | 0.4186 | 1.9853 | 1.4090 |
|
| 71 |
+
| No log | 0.7843 | 40 | 1.4230 | 0.4179 | 1.4230 | 1.1929 |
|
| 72 |
+
| No log | 0.8235 | 42 | 1.6281 | 0.2957 | 1.6281 | 1.2760 |
|
| 73 |
+
| No log | 0.8627 | 44 | 2.0056 | 0.1301 | 2.0056 | 1.4162 |
|
| 74 |
+
| No log | 0.9020 | 46 | 1.9962 | 0.2687 | 1.9962 | 1.4129 |
|
| 75 |
+
| No log | 0.9412 | 48 | 2.0119 | 0.3309 | 2.0119 | 1.4184 |
|
| 76 |
+
| No log | 0.9804 | 50 | 2.2979 | 0.2367 | 2.2979 | 1.5159 |
|
| 77 |
+
| No log | 1.0196 | 52 | 2.3531 | 0.2682 | 2.3531 | 1.5340 |
|
| 78 |
+
| No log | 1.0588 | 54 | 1.9141 | 0.3472 | 1.9141 | 1.3835 |
|
| 79 |
+
| No log | 1.0980 | 56 | 1.4422 | 0.3810 | 1.4422 | 1.2009 |
|
| 80 |
+
| No log | 1.1373 | 58 | 1.3419 | 0.4062 | 1.3419 | 1.1584 |
|
| 81 |
+
| No log | 1.1765 | 60 | 1.2542 | 0.4127 | 1.2542 | 1.1199 |
|
| 82 |
+
| No log | 1.2157 | 62 | 1.1913 | 0.4375 | 1.1913 | 1.0915 |
|
| 83 |
+
| No log | 1.2549 | 64 | 1.2032 | 0.5616 | 1.2032 | 1.0969 |
|
| 84 |
+
| No log | 1.2941 | 66 | 1.1148 | 0.5694 | 1.1148 | 1.0558 |
|
| 85 |
+
| No log | 1.3333 | 68 | 1.0707 | 0.6525 | 1.0707 | 1.0348 |
|
| 86 |
+
| No log | 1.3725 | 70 | 1.0259 | 0.6395 | 1.0259 | 1.0129 |
|
| 87 |
+
| No log | 1.4118 | 72 | 1.1314 | 0.6303 | 1.1314 | 1.0637 |
|
| 88 |
+
| No log | 1.4510 | 74 | 1.0923 | 0.6506 | 1.0923 | 1.0451 |
|
| 89 |
+
| No log | 1.4902 | 76 | 0.9791 | 0.6490 | 0.9791 | 0.9895 |
|
| 90 |
+
| No log | 1.5294 | 78 | 1.0081 | 0.6581 | 1.0081 | 1.0040 |
|
| 91 |
+
| No log | 1.5686 | 80 | 1.0755 | 0.6364 | 1.0755 | 1.0371 |
|
| 92 |
+
| No log | 1.6078 | 82 | 0.9568 | 0.6122 | 0.9568 | 0.9781 |
|
| 93 |
+
| No log | 1.6471 | 84 | 0.8558 | 0.7042 | 0.8558 | 0.9251 |
|
| 94 |
+
| No log | 1.6863 | 86 | 0.8201 | 0.7260 | 0.8201 | 0.9056 |
|
| 95 |
+
| No log | 1.7255 | 88 | 0.8808 | 0.7205 | 0.8808 | 0.9385 |
|
| 96 |
+
| No log | 1.7647 | 90 | 1.5524 | 0.5561 | 1.5524 | 1.2459 |
|
| 97 |
+
| No log | 1.8039 | 92 | 1.2917 | 0.6044 | 1.2917 | 1.1366 |
|
| 98 |
+
| No log | 1.8431 | 94 | 0.8128 | 0.7226 | 0.8128 | 0.9015 |
|
| 99 |
+
| No log | 1.8824 | 96 | 0.9232 | 0.6429 | 0.9232 | 0.9608 |
|
| 100 |
+
| No log | 1.9216 | 98 | 1.1586 | 0.4219 | 1.1586 | 1.0764 |
|
| 101 |
+
| No log | 1.9608 | 100 | 1.4202 | 0.3529 | 1.4202 | 1.1917 |
|
| 102 |
+
| No log | 2.0 | 102 | 1.4011 | 0.4252 | 1.4011 | 1.1837 |
|
| 103 |
+
| No log | 2.0392 | 104 | 1.2978 | 0.4662 | 1.2978 | 1.1392 |
|
| 104 |
+
| No log | 2.0784 | 106 | 1.1250 | 0.5143 | 1.1250 | 1.0606 |
|
| 105 |
+
| No log | 2.1176 | 108 | 0.9796 | 0.5714 | 0.9796 | 0.9898 |
|
| 106 |
+
| No log | 2.1569 | 110 | 0.8761 | 0.6713 | 0.8761 | 0.9360 |
|
| 107 |
+
| No log | 2.1961 | 112 | 0.8951 | 0.7183 | 0.8951 | 0.9461 |
|
| 108 |
+
| No log | 2.2353 | 114 | 0.8524 | 0.6809 | 0.8524 | 0.9233 |
|
| 109 |
+
| No log | 2.2745 | 116 | 0.8636 | 0.6944 | 0.8636 | 0.9293 |
|
| 110 |
+
| No log | 2.3137 | 118 | 1.0024 | 0.6667 | 1.0024 | 1.0012 |
|
| 111 |
+
| No log | 2.3529 | 120 | 0.8480 | 0.7355 | 0.8480 | 0.9209 |
|
| 112 |
+
| No log | 2.3922 | 122 | 0.6994 | 0.7375 | 0.6994 | 0.8363 |
|
| 113 |
+
| No log | 2.4314 | 124 | 0.6493 | 0.7595 | 0.6493 | 0.8058 |
|
| 114 |
+
| No log | 2.4706 | 126 | 0.6229 | 0.7702 | 0.6229 | 0.7892 |
|
| 115 |
+
| No log | 2.5098 | 128 | 0.6119 | 0.7711 | 0.6119 | 0.7822 |
|
| 116 |
+
| No log | 2.5490 | 130 | 0.6128 | 0.7784 | 0.6128 | 0.7828 |
|
| 117 |
+
| No log | 2.5882 | 132 | 0.6639 | 0.8193 | 0.6639 | 0.8148 |
|
| 118 |
+
| No log | 2.6275 | 134 | 0.7814 | 0.8025 | 0.7814 | 0.8840 |
|
| 119 |
+
| No log | 2.6667 | 136 | 0.7428 | 0.7417 | 0.7428 | 0.8619 |
|
| 120 |
+
| No log | 2.7059 | 138 | 0.8423 | 0.6803 | 0.8423 | 0.9178 |
|
| 121 |
+
| No log | 2.7451 | 140 | 0.9326 | 0.625 | 0.9326 | 0.9657 |
|
| 122 |
+
| No log | 2.7843 | 142 | 0.8827 | 0.6755 | 0.8827 | 0.9395 |
|
| 123 |
+
| No log | 2.8235 | 144 | 0.8052 | 0.7261 | 0.8052 | 0.8974 |
|
| 124 |
+
| No log | 2.8627 | 146 | 0.7182 | 0.7226 | 0.7182 | 0.8475 |
|
| 125 |
+
| No log | 2.9020 | 148 | 0.7779 | 0.7152 | 0.7779 | 0.8820 |
|
| 126 |
+
| No log | 2.9412 | 150 | 0.8846 | 0.6573 | 0.8846 | 0.9405 |
|
| 127 |
+
| No log | 2.9804 | 152 | 0.8313 | 0.6528 | 0.8313 | 0.9117 |
|
| 128 |
+
| No log | 3.0196 | 154 | 0.7428 | 0.7517 | 0.7428 | 0.8619 |
|
| 129 |
+
| No log | 3.0588 | 156 | 0.6766 | 0.7342 | 0.6766 | 0.8226 |
|
| 130 |
+
| No log | 3.0980 | 158 | 0.7363 | 0.7237 | 0.7363 | 0.8581 |
|
| 131 |
+
| No log | 3.1373 | 160 | 0.8403 | 0.6755 | 0.8403 | 0.9167 |
|
| 132 |
+
| No log | 3.1765 | 162 | 1.0995 | 0.6316 | 1.0995 | 1.0486 |
|
| 133 |
+
| No log | 3.2157 | 164 | 1.0837 | 0.6275 | 1.0837 | 1.0410 |
|
| 134 |
+
| No log | 3.2549 | 166 | 0.9212 | 0.6974 | 0.9212 | 0.9598 |
|
| 135 |
+
| No log | 3.2941 | 168 | 0.9536 | 0.6800 | 0.9536 | 0.9765 |
|
| 136 |
+
| No log | 3.3333 | 170 | 1.0784 | 0.6053 | 1.0784 | 1.0385 |
|
| 137 |
+
| No log | 3.3725 | 172 | 1.0619 | 0.6081 | 1.0619 | 1.0305 |
|
| 138 |
+
| No log | 3.4118 | 174 | 1.1223 | 0.5931 | 1.1223 | 1.0594 |
|
| 139 |
+
| No log | 3.4510 | 176 | 1.1195 | 0.5775 | 1.1195 | 1.0581 |
|
| 140 |
+
| No log | 3.4902 | 178 | 0.9411 | 0.6571 | 0.9411 | 0.9701 |
|
| 141 |
+
| No log | 3.5294 | 180 | 0.8613 | 0.6901 | 0.8613 | 0.9281 |
|
| 142 |
+
| No log | 3.5686 | 182 | 0.8404 | 0.7034 | 0.8404 | 0.9167 |
|
| 143 |
+
| No log | 3.6078 | 184 | 0.8399 | 0.7211 | 0.8399 | 0.9164 |
|
| 144 |
+
| No log | 3.6471 | 186 | 0.8626 | 0.6892 | 0.8626 | 0.9288 |
|
| 145 |
+
| No log | 3.6863 | 188 | 1.1253 | 0.6069 | 1.1253 | 1.0608 |
|
| 146 |
+
| No log | 3.7255 | 190 | 1.0258 | 0.6154 | 1.0258 | 1.0128 |
|
| 147 |
+
| No log | 3.7647 | 192 | 0.8513 | 0.7034 | 0.8513 | 0.9227 |
|
| 148 |
+
| No log | 3.8039 | 194 | 0.7100 | 0.7436 | 0.7100 | 0.8426 |
|
| 149 |
+
| No log | 3.8431 | 196 | 0.6995 | 0.7853 | 0.6995 | 0.8364 |
|
| 150 |
+
| No log | 3.8824 | 198 | 0.6969 | 0.7771 | 0.6969 | 0.8348 |
|
| 151 |
+
| No log | 3.9216 | 200 | 0.7112 | 0.7413 | 0.7112 | 0.8433 |
|
| 152 |
+
| No log | 3.9608 | 202 | 0.6959 | 0.7586 | 0.6959 | 0.8342 |
|
| 153 |
+
| No log | 4.0 | 204 | 0.6578 | 0.7632 | 0.6578 | 0.8111 |
|
| 154 |
+
| No log | 4.0392 | 206 | 0.6941 | 0.7436 | 0.6941 | 0.8331 |
|
| 155 |
+
| No log | 4.0784 | 208 | 0.7295 | 0.7081 | 0.7295 | 0.8541 |
|
| 156 |
+
| No log | 4.1176 | 210 | 0.7373 | 0.7081 | 0.7373 | 0.8587 |
|
| 157 |
+
| No log | 4.1569 | 212 | 0.7293 | 0.8 | 0.7293 | 0.8540 |
|
| 158 |
+
| No log | 4.1961 | 214 | 0.7613 | 0.7811 | 0.7613 | 0.8725 |
|
| 159 |
+
| No log | 4.2353 | 216 | 0.8086 | 0.7134 | 0.8086 | 0.8992 |
|
| 160 |
+
| No log | 4.2745 | 218 | 0.8454 | 0.6968 | 0.8454 | 0.9194 |
|
| 161 |
+
| No log | 4.3137 | 220 | 0.8800 | 0.6667 | 0.8800 | 0.9381 |
|
| 162 |
+
| No log | 4.3529 | 222 | 0.8967 | 0.6901 | 0.8967 | 0.9470 |
|
| 163 |
+
| No log | 4.3922 | 224 | 0.8036 | 0.7310 | 0.8036 | 0.8964 |
|
| 164 |
+
| No log | 4.4314 | 226 | 0.6889 | 0.7702 | 0.6889 | 0.8300 |
|
| 165 |
+
| No log | 4.4706 | 228 | 0.6597 | 0.775 | 0.6597 | 0.8122 |
|
| 166 |
+
| No log | 4.5098 | 230 | 0.6749 | 0.7826 | 0.6749 | 0.8215 |
|
| 167 |
+
| No log | 4.5490 | 232 | 0.7152 | 0.7342 | 0.7152 | 0.8457 |
|
| 168 |
+
| No log | 4.5882 | 234 | 0.7286 | 0.7237 | 0.7286 | 0.8536 |
|
| 169 |
+
| No log | 4.6275 | 236 | 0.6388 | 0.7636 | 0.6388 | 0.7993 |
|
| 170 |
+
| No log | 4.6667 | 238 | 0.6227 | 0.8049 | 0.6227 | 0.7891 |
|
| 171 |
+
| No log | 4.7059 | 240 | 0.6545 | 0.7215 | 0.6545 | 0.8090 |
|
| 172 |
+
| No log | 4.7451 | 242 | 0.7599 | 0.7285 | 0.7599 | 0.8717 |
|
| 173 |
+
| No log | 4.7843 | 244 | 0.8730 | 0.6757 | 0.8730 | 0.9344 |
|
| 174 |
+
| No log | 4.8235 | 246 | 0.8022 | 0.6974 | 0.8022 | 0.8957 |
|
| 175 |
+
| No log | 4.8627 | 248 | 0.7052 | 0.7297 | 0.7052 | 0.8397 |
|
| 176 |
+
| No log | 4.9020 | 250 | 0.6999 | 0.7297 | 0.6999 | 0.8366 |
|
| 177 |
+
| No log | 4.9412 | 252 | 0.8021 | 0.7222 | 0.8021 | 0.8956 |
|
| 178 |
+
| No log | 4.9804 | 254 | 0.8268 | 0.7034 | 0.8268 | 0.9093 |
|
| 179 |
+
| No log | 5.0196 | 256 | 0.8510 | 0.7034 | 0.8510 | 0.9225 |
|
| 180 |
+
| No log | 5.0588 | 258 | 0.7441 | 0.72 | 0.7441 | 0.8626 |
|
| 181 |
+
| No log | 5.0980 | 260 | 0.7350 | 0.8098 | 0.7350 | 0.8574 |
|
| 182 |
+
| No log | 5.1373 | 262 | 0.8341 | 0.7865 | 0.8341 | 0.9133 |
|
| 183 |
+
| No log | 5.1765 | 264 | 0.8450 | 0.7802 | 0.8450 | 0.9192 |
|
| 184 |
+
| No log | 5.2157 | 266 | 0.7324 | 0.8362 | 0.7324 | 0.8558 |
|
| 185 |
+
| No log | 5.2549 | 268 | 0.6881 | 0.7284 | 0.6881 | 0.8295 |
|
| 186 |
+
| No log | 5.2941 | 270 | 0.8811 | 0.6853 | 0.8811 | 0.9387 |
|
| 187 |
+
| No log | 5.3333 | 272 | 1.1363 | 0.6187 | 1.1363 | 1.0660 |
|
| 188 |
+
| No log | 5.3725 | 274 | 1.1811 | 0.5385 | 1.1811 | 1.0868 |
|
| 189 |
+
| No log | 5.4118 | 276 | 1.0279 | 0.6015 | 1.0279 | 1.0138 |
|
| 190 |
+
| No log | 5.4510 | 278 | 0.8854 | 0.7042 | 0.8854 | 0.9409 |
|
| 191 |
+
| No log | 5.4902 | 280 | 0.8121 | 0.7333 | 0.8121 | 0.9012 |
|
| 192 |
+
| No log | 5.5294 | 282 | 0.8795 | 0.7310 | 0.8795 | 0.9378 |
|
| 193 |
+
| No log | 5.5686 | 284 | 0.8927 | 0.7075 | 0.8927 | 0.9448 |
|
| 194 |
+
| No log | 5.6078 | 286 | 0.8719 | 0.7075 | 0.8719 | 0.9338 |
|
| 195 |
+
| No log | 5.6471 | 288 | 0.7443 | 0.7320 | 0.7443 | 0.8627 |
|
| 196 |
+
| No log | 5.6863 | 290 | 0.7195 | 0.7484 | 0.7195 | 0.8482 |
|
| 197 |
+
| No log | 5.7255 | 292 | 0.6980 | 0.7595 | 0.6980 | 0.8355 |
|
| 198 |
+
| No log | 5.7647 | 294 | 0.6875 | 0.7547 | 0.6875 | 0.8291 |
|
| 199 |
+
| No log | 5.8039 | 296 | 0.6673 | 0.7468 | 0.6673 | 0.8169 |
|
| 200 |
+
| No log | 5.8431 | 298 | 0.6657 | 0.7643 | 0.6657 | 0.8159 |
|
| 201 |
+
| No log | 5.8824 | 300 | 0.6942 | 0.7532 | 0.6942 | 0.8332 |
|
| 202 |
+
| No log | 5.9216 | 302 | 0.7329 | 0.7260 | 0.7329 | 0.8561 |
|
| 203 |
+
| No log | 5.9608 | 304 | 0.7730 | 0.7286 | 0.7730 | 0.8792 |
|
| 204 |
+
| No log | 6.0 | 306 | 0.8347 | 0.6763 | 0.8347 | 0.9136 |
|
| 205 |
+
| No log | 6.0392 | 308 | 0.8897 | 0.6522 | 0.8897 | 0.9432 |
|
| 206 |
+
| No log | 6.0784 | 310 | 0.8052 | 0.7413 | 0.8052 | 0.8973 |
|
| 207 |
+
| No log | 6.1176 | 312 | 0.7133 | 0.7517 | 0.7133 | 0.8446 |
|
| 208 |
+
| No log | 6.1569 | 314 | 0.6975 | 0.7517 | 0.6975 | 0.8351 |
|
| 209 |
+
| No log | 6.1961 | 316 | 0.7359 | 0.7606 | 0.7359 | 0.8579 |
|
| 210 |
+
| No log | 6.2353 | 318 | 0.8200 | 0.7092 | 0.8200 | 0.9055 |
|
| 211 |
+
| No log | 6.2745 | 320 | 0.7726 | 0.7092 | 0.7726 | 0.8790 |
|
| 212 |
+
| No log | 6.3137 | 322 | 0.7102 | 0.7347 | 0.7102 | 0.8428 |
|
| 213 |
+
| No log | 6.3529 | 324 | 0.6299 | 0.7467 | 0.6299 | 0.7936 |
|
| 214 |
+
| No log | 6.3922 | 326 | 0.6074 | 0.8025 | 0.6074 | 0.7794 |
|
| 215 |
+
| No log | 6.4314 | 328 | 0.6291 | 0.7975 | 0.6291 | 0.7931 |
|
| 216 |
+
| No log | 6.4706 | 330 | 0.6127 | 0.7952 | 0.6127 | 0.7827 |
|
| 217 |
+
| No log | 6.5098 | 332 | 0.5892 | 0.7879 | 0.5892 | 0.7676 |
|
| 218 |
+
| No log | 6.5490 | 334 | 0.6180 | 0.7953 | 0.6180 | 0.7861 |
|
| 219 |
+
| No log | 6.5882 | 336 | 0.7475 | 0.7978 | 0.7475 | 0.8646 |
|
| 220 |
+
| No log | 6.6275 | 338 | 0.6795 | 0.7816 | 0.6795 | 0.8243 |
|
| 221 |
+
| No log | 6.6667 | 340 | 0.5595 | 0.7953 | 0.5595 | 0.7480 |
|
| 222 |
+
| No log | 6.7059 | 342 | 0.5753 | 0.7765 | 0.5753 | 0.7585 |
|
| 223 |
+
| No log | 6.7451 | 344 | 0.5953 | 0.7811 | 0.5953 | 0.7716 |
|
| 224 |
+
| No log | 6.7843 | 346 | 0.5813 | 0.7882 | 0.5813 | 0.7624 |
|
| 225 |
+
| No log | 6.8235 | 348 | 0.6292 | 0.7561 | 0.6292 | 0.7932 |
|
| 226 |
+
| No log | 6.8627 | 350 | 0.6752 | 0.7389 | 0.6752 | 0.8217 |
|
| 227 |
+
| No log | 6.9020 | 352 | 0.7021 | 0.7383 | 0.7021 | 0.8379 |
|
| 228 |
+
| No log | 6.9412 | 354 | 0.6680 | 0.7733 | 0.6680 | 0.8173 |
|
| 229 |
+
| No log | 6.9804 | 356 | 0.6517 | 0.7662 | 0.6517 | 0.8073 |
|
| 230 |
+
| No log | 7.0196 | 358 | 0.6422 | 0.7792 | 0.6422 | 0.8014 |
|
| 231 |
+
| No log | 7.0588 | 360 | 0.6535 | 0.7792 | 0.6535 | 0.8084 |
|
| 232 |
+
| No log | 7.0980 | 362 | 0.6927 | 0.7619 | 0.6927 | 0.8323 |
|
| 233 |
+
| No log | 7.1373 | 364 | 0.6937 | 0.7619 | 0.6937 | 0.8329 |
|
| 234 |
+
| No log | 7.1765 | 366 | 0.6411 | 0.7871 | 0.6411 | 0.8007 |
|
| 235 |
+
| No log | 7.2157 | 368 | 0.6368 | 0.7871 | 0.6368 | 0.7980 |
|
| 236 |
+
| No log | 7.2549 | 370 | 0.6214 | 0.7821 | 0.6214 | 0.7883 |
|
| 237 |
+
| No log | 7.2941 | 372 | 0.6581 | 0.7568 | 0.6581 | 0.8112 |
|
| 238 |
+
| No log | 7.3333 | 374 | 0.8234 | 0.6571 | 0.8234 | 0.9074 |
|
| 239 |
+
| No log | 7.3725 | 376 | 0.8191 | 0.6806 | 0.8191 | 0.9051 |
|
| 240 |
+
| No log | 7.4118 | 378 | 0.6758 | 0.7324 | 0.6758 | 0.8221 |
|
| 241 |
+
| No log | 7.4510 | 380 | 0.5938 | 0.7871 | 0.5938 | 0.7706 |
|
| 242 |
+
| No log | 7.4902 | 382 | 0.6027 | 0.7949 | 0.6027 | 0.7763 |
|
| 243 |
+
| No log | 7.5294 | 384 | 0.6060 | 0.7898 | 0.6060 | 0.7785 |
|
| 244 |
+
| No log | 7.5686 | 386 | 0.6690 | 0.7413 | 0.6690 | 0.8179 |
|
| 245 |
+
| No log | 7.6078 | 388 | 0.7969 | 0.7297 | 0.7969 | 0.8927 |
|
| 246 |
+
| No log | 7.6471 | 390 | 0.8242 | 0.7297 | 0.8242 | 0.9078 |
|
| 247 |
+
| No log | 7.6863 | 392 | 0.7374 | 0.7042 | 0.7374 | 0.8587 |
|
| 248 |
+
| No log | 7.7255 | 394 | 0.6849 | 0.7260 | 0.6849 | 0.8276 |
|
| 249 |
+
| No log | 7.7647 | 396 | 0.6872 | 0.7815 | 0.6872 | 0.8290 |
|
| 250 |
+
| No log | 7.8039 | 398 | 0.7120 | 0.75 | 0.7120 | 0.8438 |
|
| 251 |
+
| No log | 7.8431 | 400 | 0.7397 | 0.7143 | 0.7397 | 0.8601 |
|
| 252 |
+
| No log | 7.8824 | 402 | 0.7663 | 0.7413 | 0.7663 | 0.8754 |
|
| 253 |
+
| No log | 7.9216 | 404 | 0.7253 | 0.7448 | 0.7253 | 0.8516 |
|
| 254 |
+
| No log | 7.9608 | 406 | 0.6450 | 0.7568 | 0.6450 | 0.8031 |
|
| 255 |
+
| No log | 8.0 | 408 | 0.6298 | 0.7451 | 0.6298 | 0.7936 |
|
| 256 |
+
| No log | 8.0392 | 410 | 0.6197 | 0.75 | 0.6197 | 0.7872 |
|
| 257 |
+
| No log | 8.0784 | 412 | 0.6379 | 0.7550 | 0.6379 | 0.7987 |
|
| 258 |
+
| No log | 8.1176 | 414 | 0.6791 | 0.7347 | 0.6791 | 0.8241 |
|
| 259 |
+
| No log | 8.1569 | 416 | 0.7581 | 0.7361 | 0.7581 | 0.8707 |
|
| 260 |
+
| No log | 8.1961 | 418 | 0.7914 | 0.7183 | 0.7914 | 0.8896 |
|
| 261 |
+
| No log | 8.2353 | 420 | 0.8005 | 0.7183 | 0.8005 | 0.8947 |
|
| 262 |
+
| No log | 8.2745 | 422 | 0.7523 | 0.7361 | 0.7523 | 0.8673 |
|
| 263 |
+
| No log | 8.3137 | 424 | 0.6812 | 0.7568 | 0.6812 | 0.8253 |
|
| 264 |
+
| No log | 8.3529 | 426 | 0.6801 | 0.76 | 0.6801 | 0.8247 |
|
| 265 |
+
| No log | 8.3922 | 428 | 0.6766 | 0.7632 | 0.6766 | 0.8226 |
|
| 266 |
+
| No log | 8.4314 | 430 | 0.6509 | 0.7532 | 0.6509 | 0.8068 |
|
| 267 |
+
| No log | 8.4706 | 432 | 0.6463 | 0.7468 | 0.6463 | 0.8039 |
|
| 268 |
+
| No log | 8.5098 | 434 | 0.6346 | 0.7636 | 0.6346 | 0.7966 |
|
| 269 |
+
| No log | 8.5490 | 436 | 0.6395 | 0.7802 | 0.6395 | 0.7997 |
|
| 270 |
+
| No log | 8.5882 | 438 | 0.6390 | 0.7797 | 0.6390 | 0.7994 |
|
| 271 |
+
| No log | 8.6275 | 440 | 0.6444 | 0.7701 | 0.6444 | 0.8028 |
|
| 272 |
+
| No log | 8.6667 | 442 | 0.6492 | 0.7485 | 0.6492 | 0.8057 |
|
| 273 |
+
| No log | 8.7059 | 444 | 0.6636 | 0.725 | 0.6636 | 0.8146 |
|
| 274 |
+
| No log | 8.7451 | 446 | 0.6790 | 0.7226 | 0.6790 | 0.8240 |
|
| 275 |
+
| No log | 8.7843 | 448 | 0.6883 | 0.72 | 0.6883 | 0.8297 |
|
| 276 |
+
| No log | 8.8235 | 450 | 0.6803 | 0.72 | 0.6803 | 0.8248 |
|
| 277 |
+
| No log | 8.8627 | 452 | 0.6472 | 0.7375 | 0.6472 | 0.8045 |
|
| 278 |
+
| No log | 8.9020 | 454 | 0.6426 | 0.7564 | 0.6426 | 0.8016 |
|
| 279 |
+
| No log | 8.9412 | 456 | 0.7038 | 0.6993 | 0.7038 | 0.8389 |
|
| 280 |
+
| No log | 8.9804 | 458 | 0.7564 | 0.7183 | 0.7564 | 0.8697 |
|
| 281 |
+
| No log | 9.0196 | 460 | 0.8432 | 0.7143 | 0.8432 | 0.9182 |
|
| 282 |
+
| No log | 9.0588 | 462 | 0.8035 | 0.7286 | 0.8035 | 0.8964 |
|
| 283 |
+
| No log | 9.0980 | 464 | 0.7701 | 0.7286 | 0.7701 | 0.8775 |
|
| 284 |
+
| No log | 9.1373 | 466 | 0.7208 | 0.7143 | 0.7208 | 0.8490 |
|
| 285 |
+
| No log | 9.1765 | 468 | 0.7018 | 0.7092 | 0.7018 | 0.8378 |
|
| 286 |
+
| No log | 9.2157 | 470 | 0.6731 | 0.7092 | 0.6731 | 0.8204 |
|
| 287 |
+
| No log | 9.2549 | 472 | 0.6753 | 0.6993 | 0.6753 | 0.8218 |
|
| 288 |
+
| No log | 9.2941 | 474 | 0.6769 | 0.7211 | 0.6769 | 0.8228 |
|
| 289 |
+
| No log | 9.3333 | 476 | 0.6646 | 0.7273 | 0.6646 | 0.8152 |
|
| 290 |
+
| No log | 9.3725 | 478 | 0.6550 | 0.7310 | 0.6550 | 0.8093 |
|
| 291 |
+
| No log | 9.4118 | 480 | 0.6616 | 0.7383 | 0.6616 | 0.8134 |
|
| 292 |
+
| No log | 9.4510 | 482 | 0.6699 | 0.7383 | 0.6699 | 0.8184 |
|
| 293 |
+
| No log | 9.4902 | 484 | 0.6556 | 0.7383 | 0.6556 | 0.8097 |
|
| 294 |
+
| No log | 9.5294 | 486 | 0.6326 | 0.7333 | 0.6326 | 0.7954 |
|
| 295 |
+
| No log | 9.5686 | 488 | 0.6638 | 0.7568 | 0.6638 | 0.8147 |
|
| 296 |
+
| No log | 9.6078 | 490 | 0.6940 | 0.7619 | 0.6940 | 0.8331 |
|
| 297 |
+
| No log | 9.6471 | 492 | 0.6944 | 0.7619 | 0.6944 | 0.8333 |
|
| 298 |
+
| No log | 9.6863 | 494 | 0.6433 | 0.7483 | 0.6433 | 0.8020 |
|
| 299 |
+
| No log | 9.7255 | 496 | 0.6244 | 0.7517 | 0.6244 | 0.7902 |
|
| 300 |
+
| No log | 9.7647 | 498 | 0.6562 | 0.7483 | 0.6562 | 0.8101 |
|
| 301 |
+
| 0.4656 | 9.8039 | 500 | 0.7009 | 0.7368 | 0.7009 | 0.8372 |
|
| 302 |
+
| 0.4656 | 9.8431 | 502 | 0.6682 | 0.7383 | 0.6682 | 0.8174 |
|
| 303 |
+
| 0.4656 | 9.8824 | 504 | 0.6733 | 0.7534 | 0.6733 | 0.8205 |
|
| 304 |
+
| 0.4656 | 9.9216 | 506 | 0.6769 | 0.7451 | 0.6769 | 0.8227 |
|
| 305 |
+
| 0.4656 | 9.9608 | 508 | 0.6568 | 0.7568 | 0.6568 | 0.8105 |
|
| 306 |
+
| 0.4656 | 10.0 | 510 | 0.6291 | 0.7712 | 0.6291 | 0.7932 |
|
| 307 |
+
| 0.4656 | 10.0392 | 512 | 0.6168 | 0.7595 | 0.6168 | 0.7854 |
|
| 308 |
+
| 0.4656 | 10.0784 | 514 | 0.6076 | 0.7531 | 0.6076 | 0.7795 |
|
| 309 |
+
| 0.4656 | 10.1176 | 516 | 0.6180 | 0.7531 | 0.6180 | 0.7861 |
|
| 310 |
+
| 0.4656 | 10.1569 | 518 | 0.6340 | 0.7470 | 0.6340 | 0.7963 |
|
| 311 |
+
| 0.4656 | 10.1961 | 520 | 0.6308 | 0.7485 | 0.6308 | 0.7943 |
|
| 312 |
+
| 0.4656 | 10.2353 | 522 | 0.6353 | 0.7375 | 0.6353 | 0.7971 |
|
| 313 |
+
| 0.4656 | 10.2745 | 524 | 0.7147 | 0.7582 | 0.7147 | 0.8454 |
|
| 314 |
+
| 0.4656 | 10.3137 | 526 | 0.8830 | 0.6946 | 0.8830 | 0.9397 |
|
| 315 |
+
| 0.4656 | 10.3529 | 528 | 0.9519 | 0.6624 | 0.9519 | 0.9756 |
|
| 316 |
+
| 0.4656 | 10.3922 | 530 | 0.8522 | 0.6993 | 0.8522 | 0.9231 |
|
| 317 |
+
| 0.4656 | 10.4314 | 532 | 0.7819 | 0.6957 | 0.7819 | 0.8842 |
|
| 318 |
+
| 0.4656 | 10.4706 | 534 | 0.6984 | 0.7273 | 0.6984 | 0.8357 |
|
| 319 |
+
|
| 320 |
+
|
| 321 |
+
### Framework versions
|
| 322 |
+
|
| 323 |
+
- Transformers 4.44.2
|
| 324 |
+
- Pytorch 2.4.0+cu118
|
| 325 |
+
- Datasets 2.21.0
|
| 326 |
+
- 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:e98b4fcf5868c45bcfc5f00087bdb14b3d32004cc84a94551292868b537e3951
|
| 3 |
+
size 540799996
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:144ea584142fe5eb535c5d62990d54fb4da82562592745f3906d9770e5b54db2
|
| 3 |
+
size 5304
|