Training in progress, step 500
Browse files- README.md +316 -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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+
library_name: transformers
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+
base_model: aubmindlab/bert-base-arabertv02
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+
tags:
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- generated_from_trainer
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+
model-index:
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- name: ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization
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+
results: []
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+
---
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+
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+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+
should probably proofread and complete it, then remove this comment. -->
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+
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+
# ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization
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+
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+
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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+
It achieves the following results on the evaluation set:
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+
- Loss: 0.6928
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+
- Qwk: 0.6096
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- Mse: 0.6928
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- Rmse: 0.8323
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## Model description
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More information needed
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## Intended uses & limitations
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+
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+
More information needed
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+
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## Training and evaluation data
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+
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More information needed
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## 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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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+
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
|
52 |
+
| No log | 0.0204 | 2 | 5.2781 | -0.0163 | 5.2781 | 2.2974 |
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53 |
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| No log | 0.0408 | 4 | 3.4104 | 0.0445 | 3.4105 | 1.8467 |
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54 |
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| No log | 0.0612 | 6 | 2.5206 | -0.0928 | 2.5206 | 1.5876 |
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55 |
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| No log | 0.0816 | 8 | 1.6544 | 0.1402 | 1.6544 | 1.2862 |
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56 |
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| No log | 0.1020 | 10 | 1.2417 | 0.2185 | 1.2417 | 1.1143 |
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| No log | 0.1224 | 12 | 1.0991 | 0.3305 | 1.0991 | 1.0484 |
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58 |
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| No log | 0.1429 | 14 | 1.0545 | 0.3433 | 1.0545 | 1.0269 |
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59 |
+
| No log | 0.1633 | 16 | 1.1757 | 0.2565 | 1.1757 | 1.0843 |
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60 |
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| No log | 0.1837 | 18 | 1.2550 | 0.2754 | 1.2550 | 1.1203 |
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61 |
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| No log | 0.2041 | 20 | 1.0493 | 0.3162 | 1.0493 | 1.0244 |
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| No log | 0.2245 | 22 | 1.0488 | 0.4038 | 1.0488 | 1.0241 |
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| No log | 0.2449 | 24 | 1.0843 | 0.4275 | 1.0843 | 1.0413 |
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| No log | 0.2653 | 26 | 1.3000 | 0.2825 | 1.3000 | 1.1402 |
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| No log | 0.2857 | 28 | 1.8720 | 0.0358 | 1.8720 | 1.3682 |
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| No log | 0.3061 | 30 | 2.3271 | -0.1650 | 2.3271 | 1.5255 |
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67 |
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| No log | 0.3265 | 32 | 1.4564 | 0.1839 | 1.4564 | 1.2068 |
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| No log | 0.3469 | 34 | 1.0335 | 0.4195 | 1.0335 | 1.0166 |
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| No log | 0.3673 | 36 | 0.9945 | 0.3436 | 0.9945 | 0.9972 |
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| No log | 0.3878 | 38 | 1.0714 | 0.4022 | 1.0714 | 1.0351 |
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71 |
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| No log | 0.4082 | 40 | 1.3934 | 0.2724 | 1.3934 | 1.1804 |
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72 |
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| No log | 0.4286 | 42 | 1.4627 | 0.2273 | 1.4627 | 1.2094 |
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73 |
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| No log | 0.4490 | 44 | 1.1573 | 0.3789 | 1.1573 | 1.0758 |
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74 |
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| No log | 0.4694 | 46 | 0.9842 | 0.5318 | 0.9842 | 0.9921 |
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| No log | 0.4898 | 48 | 0.9717 | 0.5080 | 0.9717 | 0.9858 |
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76 |
+
| No log | 0.5102 | 50 | 0.9445 | 0.4971 | 0.9445 | 0.9719 |
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| No log | 0.5306 | 52 | 1.0291 | 0.3873 | 1.0291 | 1.0144 |
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| No log | 0.5510 | 54 | 1.0098 | 0.3961 | 1.0098 | 1.0049 |
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| No log | 0.5714 | 56 | 0.9101 | 0.4395 | 0.9101 | 0.9540 |
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80 |
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| No log | 0.5918 | 58 | 0.9313 | 0.4202 | 0.9313 | 0.9650 |
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+
| No log | 0.6122 | 60 | 0.9259 | 0.4348 | 0.9259 | 0.9622 |
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82 |
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| No log | 0.6327 | 62 | 1.0292 | 0.4632 | 1.0292 | 1.0145 |
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| No log | 0.6531 | 64 | 1.2215 | 0.3031 | 1.2215 | 1.1052 |
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84 |
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| No log | 0.6735 | 66 | 1.0492 | 0.4567 | 1.0492 | 1.0243 |
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+
| No log | 0.6939 | 68 | 0.8616 | 0.5526 | 0.8616 | 0.9282 |
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+
| No log | 0.7143 | 70 | 1.0007 | 0.4778 | 1.0007 | 1.0004 |
|
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+
| No log | 0.7347 | 72 | 1.2435 | 0.4152 | 1.2435 | 1.1151 |
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+
| No log | 0.7551 | 74 | 1.0029 | 0.4329 | 1.0029 | 1.0014 |
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+
| No log | 0.7755 | 76 | 0.9524 | 0.5251 | 0.9524 | 0.9759 |
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| No log | 0.7959 | 78 | 1.0880 | 0.4195 | 1.0880 | 1.0431 |
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91 |
+
| No log | 0.8163 | 80 | 1.0978 | 0.4253 | 1.0978 | 1.0477 |
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92 |
+
| No log | 0.8367 | 82 | 0.9895 | 0.4954 | 0.9895 | 0.9947 |
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93 |
+
| No log | 0.8571 | 84 | 0.9191 | 0.5160 | 0.9191 | 0.9587 |
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94 |
+
| No log | 0.8776 | 86 | 0.9214 | 0.4675 | 0.9214 | 0.9599 |
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95 |
+
| No log | 0.8980 | 88 | 0.9076 | 0.4858 | 0.9076 | 0.9527 |
|
96 |
+
| No log | 0.9184 | 90 | 0.8456 | 0.5362 | 0.8456 | 0.9196 |
|
97 |
+
| No log | 0.9388 | 92 | 0.9760 | 0.4030 | 0.9760 | 0.9879 |
|
98 |
+
| No log | 0.9592 | 94 | 1.6512 | -0.0084 | 1.6512 | 1.2850 |
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99 |
+
| No log | 0.9796 | 96 | 1.5812 | 0.0308 | 1.5812 | 1.2575 |
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100 |
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| No log | 1.0 | 98 | 1.1015 | 0.2517 | 1.1015 | 1.0495 |
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+
| No log | 1.0204 | 100 | 0.8865 | 0.5362 | 0.8865 | 0.9415 |
|
102 |
+
| No log | 1.0408 | 102 | 0.8416 | 0.5991 | 0.8416 | 0.9174 |
|
103 |
+
| No log | 1.0612 | 104 | 0.8374 | 0.5886 | 0.8374 | 0.9151 |
|
104 |
+
| No log | 1.0816 | 106 | 0.7919 | 0.5779 | 0.7919 | 0.8899 |
|
105 |
+
| No log | 1.1020 | 108 | 0.7860 | 0.5813 | 0.7860 | 0.8866 |
|
106 |
+
| No log | 1.1224 | 110 | 0.7995 | 0.6331 | 0.7995 | 0.8942 |
|
107 |
+
| No log | 1.1429 | 112 | 0.7655 | 0.6496 | 0.7655 | 0.8749 |
|
108 |
+
| No log | 1.1633 | 114 | 0.7541 | 0.6514 | 0.7541 | 0.8684 |
|
109 |
+
| No log | 1.1837 | 116 | 0.7695 | 0.6221 | 0.7695 | 0.8772 |
|
110 |
+
| No log | 1.2041 | 118 | 0.7697 | 0.6135 | 0.7697 | 0.8773 |
|
111 |
+
| No log | 1.2245 | 120 | 0.7710 | 0.5913 | 0.7710 | 0.8781 |
|
112 |
+
| No log | 1.2449 | 122 | 0.7616 | 0.6189 | 0.7616 | 0.8727 |
|
113 |
+
| No log | 1.2653 | 124 | 0.8054 | 0.6166 | 0.8054 | 0.8974 |
|
114 |
+
| No log | 1.2857 | 126 | 0.9775 | 0.5258 | 0.9775 | 0.9887 |
|
115 |
+
| No log | 1.3061 | 128 | 1.0841 | 0.5098 | 1.0841 | 1.0412 |
|
116 |
+
| No log | 1.3265 | 130 | 1.0496 | 0.5324 | 1.0496 | 1.0245 |
|
117 |
+
| No log | 1.3469 | 132 | 0.9969 | 0.5546 | 0.9969 | 0.9985 |
|
118 |
+
| No log | 1.3673 | 134 | 0.8705 | 0.6105 | 0.8705 | 0.9330 |
|
119 |
+
| No log | 1.3878 | 136 | 0.8166 | 0.6778 | 0.8166 | 0.9037 |
|
120 |
+
| No log | 1.4082 | 138 | 0.8283 | 0.6653 | 0.8283 | 0.9101 |
|
121 |
+
| No log | 1.4286 | 140 | 0.8765 | 0.6228 | 0.8765 | 0.9362 |
|
122 |
+
| No log | 1.4490 | 142 | 0.8835 | 0.6261 | 0.8835 | 0.9400 |
|
123 |
+
| No log | 1.4694 | 144 | 0.8836 | 0.6238 | 0.8836 | 0.9400 |
|
124 |
+
| No log | 1.4898 | 146 | 1.0274 | 0.5694 | 1.0274 | 1.0136 |
|
125 |
+
| No log | 1.5102 | 148 | 1.0584 | 0.5429 | 1.0584 | 1.0288 |
|
126 |
+
| No log | 1.5306 | 150 | 0.9162 | 0.6090 | 0.9162 | 0.9572 |
|
127 |
+
| No log | 1.5510 | 152 | 0.7901 | 0.6728 | 0.7901 | 0.8889 |
|
128 |
+
| No log | 1.5714 | 154 | 0.8000 | 0.6577 | 0.8000 | 0.8945 |
|
129 |
+
| No log | 1.5918 | 156 | 0.8592 | 0.6781 | 0.8592 | 0.9269 |
|
130 |
+
| No log | 1.6122 | 158 | 0.9939 | 0.5917 | 0.9939 | 0.9969 |
|
131 |
+
| No log | 1.6327 | 160 | 0.9930 | 0.5795 | 0.9930 | 0.9965 |
|
132 |
+
| No log | 1.6531 | 162 | 0.8973 | 0.6402 | 0.8973 | 0.9472 |
|
133 |
+
| No log | 1.6735 | 164 | 0.8011 | 0.6480 | 0.8011 | 0.8950 |
|
134 |
+
| No log | 1.6939 | 166 | 0.8234 | 0.6813 | 0.8234 | 0.9074 |
|
135 |
+
| No log | 1.7143 | 168 | 0.9876 | 0.6007 | 0.9876 | 0.9938 |
|
136 |
+
| No log | 1.7347 | 170 | 1.1225 | 0.5134 | 1.1225 | 1.0595 |
|
137 |
+
| No log | 1.7551 | 172 | 1.0429 | 0.5393 | 1.0429 | 1.0212 |
|
138 |
+
| No log | 1.7755 | 174 | 0.9508 | 0.6464 | 0.9508 | 0.9751 |
|
139 |
+
| No log | 1.7959 | 176 | 0.9113 | 0.6598 | 0.9113 | 0.9546 |
|
140 |
+
| No log | 1.8163 | 178 | 0.9206 | 0.6204 | 0.9206 | 0.9595 |
|
141 |
+
| No log | 1.8367 | 180 | 0.9775 | 0.5618 | 0.9775 | 0.9887 |
|
142 |
+
| No log | 1.8571 | 182 | 0.9167 | 0.5794 | 0.9167 | 0.9574 |
|
143 |
+
| No log | 1.8776 | 184 | 0.8218 | 0.5619 | 0.8218 | 0.9065 |
|
144 |
+
| No log | 1.8980 | 186 | 0.8256 | 0.5195 | 0.8256 | 0.9086 |
|
145 |
+
| No log | 1.9184 | 188 | 0.8296 | 0.5830 | 0.8296 | 0.9108 |
|
146 |
+
| No log | 1.9388 | 190 | 0.9826 | 0.5358 | 0.9826 | 0.9913 |
|
147 |
+
| No log | 1.9592 | 192 | 1.1710 | 0.4653 | 1.1710 | 1.0821 |
|
148 |
+
| No log | 1.9796 | 194 | 1.1736 | 0.4644 | 1.1736 | 1.0833 |
|
149 |
+
| No log | 2.0 | 196 | 1.1128 | 0.4786 | 1.1128 | 1.0549 |
|
150 |
+
| No log | 2.0204 | 198 | 0.9607 | 0.5599 | 0.9607 | 0.9802 |
|
151 |
+
| No log | 2.0408 | 200 | 0.9190 | 0.5570 | 0.9190 | 0.9587 |
|
152 |
+
| No log | 2.0612 | 202 | 0.9199 | 0.5599 | 0.9199 | 0.9591 |
|
153 |
+
| No log | 2.0816 | 204 | 0.9813 | 0.5483 | 0.9813 | 0.9906 |
|
154 |
+
| No log | 2.1020 | 206 | 1.0288 | 0.5121 | 1.0288 | 1.0143 |
|
155 |
+
| No log | 2.1224 | 208 | 1.0146 | 0.5280 | 1.0146 | 1.0073 |
|
156 |
+
| No log | 2.1429 | 210 | 0.9023 | 0.6169 | 0.9023 | 0.9499 |
|
157 |
+
| No log | 2.1633 | 212 | 0.8099 | 0.6547 | 0.8099 | 0.8999 |
|
158 |
+
| No log | 2.1837 | 214 | 0.8121 | 0.5674 | 0.8121 | 0.9012 |
|
159 |
+
| No log | 2.2041 | 216 | 0.8053 | 0.5932 | 0.8053 | 0.8974 |
|
160 |
+
| No log | 2.2245 | 218 | 0.8046 | 0.6273 | 0.8046 | 0.8970 |
|
161 |
+
| No log | 2.2449 | 220 | 0.7971 | 0.6207 | 0.7971 | 0.8928 |
|
162 |
+
| No log | 2.2653 | 222 | 0.7891 | 0.6017 | 0.7891 | 0.8883 |
|
163 |
+
| No log | 2.2857 | 224 | 0.8009 | 0.6453 | 0.8009 | 0.8950 |
|
164 |
+
| No log | 2.3061 | 226 | 0.8842 | 0.6194 | 0.8842 | 0.9403 |
|
165 |
+
| No log | 2.3265 | 228 | 0.9771 | 0.5717 | 0.9771 | 0.9885 |
|
166 |
+
| No log | 2.3469 | 230 | 0.9543 | 0.5542 | 0.9543 | 0.9769 |
|
167 |
+
| No log | 2.3673 | 232 | 0.8418 | 0.6745 | 0.8418 | 0.9175 |
|
168 |
+
| No log | 2.3878 | 234 | 0.8197 | 0.6634 | 0.8197 | 0.9054 |
|
169 |
+
| No log | 2.4082 | 236 | 0.8413 | 0.6373 | 0.8413 | 0.9172 |
|
170 |
+
| No log | 2.4286 | 238 | 0.9307 | 0.5754 | 0.9307 | 0.9647 |
|
171 |
+
| No log | 2.4490 | 240 | 0.9791 | 0.5705 | 0.9791 | 0.9895 |
|
172 |
+
| No log | 2.4694 | 242 | 0.9951 | 0.5681 | 0.9951 | 0.9976 |
|
173 |
+
| No log | 2.4898 | 244 | 0.8579 | 0.5968 | 0.8579 | 0.9263 |
|
174 |
+
| No log | 2.5102 | 246 | 0.7679 | 0.6500 | 0.7680 | 0.8763 |
|
175 |
+
| No log | 2.5306 | 248 | 0.7751 | 0.6552 | 0.7751 | 0.8804 |
|
176 |
+
| No log | 2.5510 | 250 | 0.7938 | 0.6515 | 0.7938 | 0.8909 |
|
177 |
+
| No log | 2.5714 | 252 | 0.8133 | 0.6893 | 0.8133 | 0.9018 |
|
178 |
+
| No log | 2.5918 | 254 | 0.7939 | 0.7031 | 0.7939 | 0.8910 |
|
179 |
+
| No log | 2.6122 | 256 | 0.8022 | 0.6814 | 0.8022 | 0.8957 |
|
180 |
+
| No log | 2.6327 | 258 | 0.8739 | 0.6110 | 0.8739 | 0.9348 |
|
181 |
+
| No log | 2.6531 | 260 | 0.8748 | 0.6291 | 0.8748 | 0.9353 |
|
182 |
+
| No log | 2.6735 | 262 | 0.8060 | 0.6416 | 0.8060 | 0.8978 |
|
183 |
+
| No log | 2.6939 | 264 | 0.7833 | 0.6327 | 0.7833 | 0.8850 |
|
184 |
+
| No log | 2.7143 | 266 | 0.8106 | 0.6178 | 0.8106 | 0.9004 |
|
185 |
+
| No log | 2.7347 | 268 | 0.7923 | 0.6011 | 0.7923 | 0.8901 |
|
186 |
+
| No log | 2.7551 | 270 | 0.7857 | 0.5275 | 0.7857 | 0.8864 |
|
187 |
+
| No log | 2.7755 | 272 | 0.8094 | 0.5232 | 0.8094 | 0.8996 |
|
188 |
+
| No log | 2.7959 | 274 | 0.8560 | 0.5391 | 0.8560 | 0.9252 |
|
189 |
+
| No log | 2.8163 | 276 | 0.8427 | 0.5945 | 0.8427 | 0.9180 |
|
190 |
+
| No log | 2.8367 | 278 | 0.7787 | 0.6242 | 0.7787 | 0.8825 |
|
191 |
+
| No log | 2.8571 | 280 | 0.7810 | 0.6056 | 0.7810 | 0.8837 |
|
192 |
+
| No log | 2.8776 | 282 | 0.7783 | 0.6472 | 0.7783 | 0.8822 |
|
193 |
+
| No log | 2.8980 | 284 | 0.7922 | 0.6558 | 0.7922 | 0.8900 |
|
194 |
+
| No log | 2.9184 | 286 | 0.8584 | 0.6175 | 0.8584 | 0.9265 |
|
195 |
+
| No log | 2.9388 | 288 | 0.8867 | 0.6152 | 0.8867 | 0.9416 |
|
196 |
+
| No log | 2.9592 | 290 | 0.8638 | 0.5997 | 0.8638 | 0.9294 |
|
197 |
+
| No log | 2.9796 | 292 | 0.7845 | 0.6047 | 0.7845 | 0.8857 |
|
198 |
+
| No log | 3.0 | 294 | 0.7871 | 0.6231 | 0.7871 | 0.8872 |
|
199 |
+
| No log | 3.0204 | 296 | 0.7811 | 0.5452 | 0.7811 | 0.8838 |
|
200 |
+
| No log | 3.0408 | 298 | 0.7686 | 0.5797 | 0.7686 | 0.8767 |
|
201 |
+
| No log | 3.0612 | 300 | 0.7879 | 0.6053 | 0.7879 | 0.8877 |
|
202 |
+
| No log | 3.0816 | 302 | 0.8143 | 0.6169 | 0.8143 | 0.9024 |
|
203 |
+
| No log | 3.1020 | 304 | 0.8526 | 0.5981 | 0.8526 | 0.9234 |
|
204 |
+
| No log | 3.1224 | 306 | 0.9223 | 0.5677 | 0.9223 | 0.9604 |
|
205 |
+
| No log | 3.1429 | 308 | 0.9449 | 0.5728 | 0.9449 | 0.9721 |
|
206 |
+
| No log | 3.1633 | 310 | 0.9781 | 0.5763 | 0.9781 | 0.9890 |
|
207 |
+
| No log | 3.1837 | 312 | 0.9110 | 0.6137 | 0.9110 | 0.9545 |
|
208 |
+
| No log | 3.2041 | 314 | 0.9057 | 0.6042 | 0.9057 | 0.9517 |
|
209 |
+
| No log | 3.2245 | 316 | 0.9161 | 0.5725 | 0.9161 | 0.9571 |
|
210 |
+
| No log | 3.2449 | 318 | 0.8814 | 0.5251 | 0.8814 | 0.9388 |
|
211 |
+
| No log | 3.2653 | 320 | 0.8385 | 0.5535 | 0.8385 | 0.9157 |
|
212 |
+
| No log | 3.2857 | 322 | 0.8280 | 0.5581 | 0.8280 | 0.9100 |
|
213 |
+
| No log | 3.3061 | 324 | 0.8284 | 0.5611 | 0.8284 | 0.9101 |
|
214 |
+
| No log | 3.3265 | 326 | 0.8294 | 0.5937 | 0.8294 | 0.9107 |
|
215 |
+
| No log | 3.3469 | 328 | 0.8245 | 0.5897 | 0.8245 | 0.9080 |
|
216 |
+
| No log | 3.3673 | 330 | 0.9367 | 0.5185 | 0.9367 | 0.9678 |
|
217 |
+
| No log | 3.3878 | 332 | 1.0880 | 0.5096 | 1.0880 | 1.0431 |
|
218 |
+
| No log | 3.4082 | 334 | 1.1714 | 0.4931 | 1.1714 | 1.0823 |
|
219 |
+
| No log | 3.4286 | 336 | 1.0478 | 0.5075 | 1.0478 | 1.0236 |
|
220 |
+
| No log | 3.4490 | 338 | 0.8886 | 0.6146 | 0.8886 | 0.9426 |
|
221 |
+
| No log | 3.4694 | 340 | 0.8356 | 0.6605 | 0.8356 | 0.9141 |
|
222 |
+
| No log | 3.4898 | 342 | 0.8355 | 0.6539 | 0.8355 | 0.9141 |
|
223 |
+
| No log | 3.5102 | 344 | 0.8534 | 0.6248 | 0.8534 | 0.9238 |
|
224 |
+
| No log | 3.5306 | 346 | 0.9956 | 0.5417 | 0.9956 | 0.9978 |
|
225 |
+
| No log | 3.5510 | 348 | 1.0239 | 0.5398 | 1.0239 | 1.0119 |
|
226 |
+
| No log | 3.5714 | 350 | 0.8895 | 0.6229 | 0.8895 | 0.9431 |
|
227 |
+
| No log | 3.5918 | 352 | 0.8105 | 0.6411 | 0.8105 | 0.9003 |
|
228 |
+
| No log | 3.6122 | 354 | 0.8146 | 0.6539 | 0.8146 | 0.9025 |
|
229 |
+
| No log | 3.6327 | 356 | 0.9260 | 0.6215 | 0.9260 | 0.9623 |
|
230 |
+
| No log | 3.6531 | 358 | 1.0002 | 0.5798 | 1.0002 | 1.0001 |
|
231 |
+
| No log | 3.6735 | 360 | 1.0305 | 0.5880 | 1.0305 | 1.0151 |
|
232 |
+
| No log | 3.6939 | 362 | 0.9930 | 0.6113 | 0.9930 | 0.9965 |
|
233 |
+
| No log | 3.7143 | 364 | 1.0737 | 0.5622 | 1.0737 | 1.0362 |
|
234 |
+
| No log | 3.7347 | 366 | 1.3230 | 0.4623 | 1.3230 | 1.1502 |
|
235 |
+
| No log | 3.7551 | 368 | 1.4403 | 0.4469 | 1.4403 | 1.2001 |
|
236 |
+
| No log | 3.7755 | 370 | 1.2831 | 0.4609 | 1.2831 | 1.1327 |
|
237 |
+
| No log | 3.7959 | 372 | 1.0507 | 0.5269 | 1.0507 | 1.0250 |
|
238 |
+
| No log | 3.8163 | 374 | 0.8297 | 0.5934 | 0.8297 | 0.9109 |
|
239 |
+
| No log | 3.8367 | 376 | 0.7816 | 0.6017 | 0.7816 | 0.8841 |
|
240 |
+
| No log | 3.8571 | 378 | 0.8245 | 0.5537 | 0.8245 | 0.9080 |
|
241 |
+
| No log | 3.8776 | 380 | 0.8715 | 0.5647 | 0.8715 | 0.9336 |
|
242 |
+
| No log | 3.8980 | 382 | 0.9330 | 0.5758 | 0.9330 | 0.9659 |
|
243 |
+
| No log | 3.9184 | 384 | 0.9316 | 0.5929 | 0.9316 | 0.9652 |
|
244 |
+
| No log | 3.9388 | 386 | 0.8706 | 0.6051 | 0.8706 | 0.9331 |
|
245 |
+
| No log | 3.9592 | 388 | 0.8987 | 0.6094 | 0.8987 | 0.9480 |
|
246 |
+
| No log | 3.9796 | 390 | 0.9083 | 0.6064 | 0.9083 | 0.9531 |
|
247 |
+
| No log | 4.0 | 392 | 0.9501 | 0.5584 | 0.9501 | 0.9747 |
|
248 |
+
| No log | 4.0204 | 394 | 0.8813 | 0.5906 | 0.8813 | 0.9388 |
|
249 |
+
| No log | 4.0408 | 396 | 0.7753 | 0.5521 | 0.7753 | 0.8805 |
|
250 |
+
| No log | 4.0612 | 398 | 0.7389 | 0.5779 | 0.7389 | 0.8596 |
|
251 |
+
| No log | 4.0816 | 400 | 0.7264 | 0.6057 | 0.7264 | 0.8523 |
|
252 |
+
| No log | 4.1020 | 402 | 0.7115 | 0.6388 | 0.7115 | 0.8435 |
|
253 |
+
| No log | 4.1224 | 404 | 0.7163 | 0.6783 | 0.7163 | 0.8463 |
|
254 |
+
| No log | 4.1429 | 406 | 0.8791 | 0.6098 | 0.8791 | 0.9376 |
|
255 |
+
| No log | 4.1633 | 408 | 1.0036 | 0.5694 | 1.0036 | 1.0018 |
|
256 |
+
| No log | 4.1837 | 410 | 0.9089 | 0.6186 | 0.9089 | 0.9533 |
|
257 |
+
| No log | 4.2041 | 412 | 0.8027 | 0.6618 | 0.8027 | 0.8959 |
|
258 |
+
| No log | 4.2245 | 414 | 0.7292 | 0.6916 | 0.7292 | 0.8539 |
|
259 |
+
| No log | 4.2449 | 416 | 0.7188 | 0.6979 | 0.7188 | 0.8478 |
|
260 |
+
| No log | 4.2653 | 418 | 0.7246 | 0.6854 | 0.7246 | 0.8512 |
|
261 |
+
| No log | 4.2857 | 420 | 0.8110 | 0.6419 | 0.8110 | 0.9006 |
|
262 |
+
| No log | 4.3061 | 422 | 0.8863 | 0.5792 | 0.8863 | 0.9415 |
|
263 |
+
| No log | 4.3265 | 424 | 0.8644 | 0.6068 | 0.8644 | 0.9297 |
|
264 |
+
| No log | 4.3469 | 426 | 0.8395 | 0.6261 | 0.8395 | 0.9162 |
|
265 |
+
| No log | 4.3673 | 428 | 0.8756 | 0.5965 | 0.8756 | 0.9357 |
|
266 |
+
| No log | 4.3878 | 430 | 0.8744 | 0.5921 | 0.8744 | 0.9351 |
|
267 |
+
| No log | 4.4082 | 432 | 0.8075 | 0.6459 | 0.8075 | 0.8986 |
|
268 |
+
| No log | 4.4286 | 434 | 0.7530 | 0.7056 | 0.7530 | 0.8677 |
|
269 |
+
| No log | 4.4490 | 436 | 0.7648 | 0.7082 | 0.7648 | 0.8745 |
|
270 |
+
| No log | 4.4694 | 438 | 0.7714 | 0.7143 | 0.7714 | 0.8783 |
|
271 |
+
| No log | 4.4898 | 440 | 0.8663 | 0.6323 | 0.8663 | 0.9308 |
|
272 |
+
| No log | 4.5102 | 442 | 1.0017 | 0.5389 | 1.0017 | 1.0009 |
|
273 |
+
| No log | 4.5306 | 444 | 1.0013 | 0.5236 | 1.0013 | 1.0006 |
|
274 |
+
| No log | 4.5510 | 446 | 0.8802 | 0.6126 | 0.8802 | 0.9382 |
|
275 |
+
| No log | 4.5714 | 448 | 0.7566 | 0.6297 | 0.7566 | 0.8698 |
|
276 |
+
| No log | 4.5918 | 450 | 0.7435 | 0.6242 | 0.7435 | 0.8623 |
|
277 |
+
| No log | 4.6122 | 452 | 0.7596 | 0.6262 | 0.7596 | 0.8716 |
|
278 |
+
| No log | 4.6327 | 454 | 0.8249 | 0.6373 | 0.8249 | 0.9083 |
|
279 |
+
| No log | 4.6531 | 456 | 0.9342 | 0.5728 | 0.9342 | 0.9665 |
|
280 |
+
| No log | 4.6735 | 458 | 0.9896 | 0.5545 | 0.9896 | 0.9948 |
|
281 |
+
| No log | 4.6939 | 460 | 0.9036 | 0.5739 | 0.9036 | 0.9506 |
|
282 |
+
| No log | 4.7143 | 462 | 0.8331 | 0.6070 | 0.8331 | 0.9127 |
|
283 |
+
| No log | 4.7347 | 464 | 0.8336 | 0.6020 | 0.8336 | 0.9130 |
|
284 |
+
| No log | 4.7551 | 466 | 0.8941 | 0.5315 | 0.8941 | 0.9456 |
|
285 |
+
| No log | 4.7755 | 468 | 0.9204 | 0.5347 | 0.9204 | 0.9593 |
|
286 |
+
| No log | 4.7959 | 470 | 0.9576 | 0.5400 | 0.9576 | 0.9786 |
|
287 |
+
| No log | 4.8163 | 472 | 0.9523 | 0.5547 | 0.9523 | 0.9758 |
|
288 |
+
| No log | 4.8367 | 474 | 0.8500 | 0.5663 | 0.8500 | 0.9220 |
|
289 |
+
| No log | 4.8571 | 476 | 0.7566 | 0.6555 | 0.7566 | 0.8698 |
|
290 |
+
| No log | 4.8776 | 478 | 0.7041 | 0.6414 | 0.7041 | 0.8391 |
|
291 |
+
| No log | 4.8980 | 480 | 0.7045 | 0.6644 | 0.7045 | 0.8393 |
|
292 |
+
| No log | 4.9184 | 482 | 0.7342 | 0.6575 | 0.7342 | 0.8569 |
|
293 |
+
| No log | 4.9388 | 484 | 0.8078 | 0.6360 | 0.8078 | 0.8988 |
|
294 |
+
| No log | 4.9592 | 486 | 0.8087 | 0.6367 | 0.8087 | 0.8993 |
|
295 |
+
| No log | 4.9796 | 488 | 0.8095 | 0.6415 | 0.8095 | 0.8997 |
|
296 |
+
| No log | 5.0 | 490 | 0.7502 | 0.6757 | 0.7502 | 0.8661 |
|
297 |
+
| No log | 5.0204 | 492 | 0.7597 | 0.6511 | 0.7597 | 0.8716 |
|
298 |
+
| No log | 5.0408 | 494 | 0.8037 | 0.6451 | 0.8037 | 0.8965 |
|
299 |
+
| No log | 5.0612 | 496 | 0.7664 | 0.6606 | 0.7664 | 0.8754 |
|
300 |
+
| No log | 5.0816 | 498 | 0.6825 | 0.6747 | 0.6825 | 0.8261 |
|
301 |
+
| 0.4171 | 5.1020 | 500 | 0.6675 | 0.6810 | 0.6675 | 0.8170 |
|
302 |
+
| 0.4171 | 5.1224 | 502 | 0.6677 | 0.6810 | 0.6677 | 0.8172 |
|
303 |
+
| 0.4171 | 5.1429 | 504 | 0.7164 | 0.6902 | 0.7164 | 0.8464 |
|
304 |
+
| 0.4171 | 5.1633 | 506 | 0.7852 | 0.6741 | 0.7852 | 0.8861 |
|
305 |
+
| 0.4171 | 5.1837 | 508 | 0.8311 | 0.6282 | 0.8311 | 0.9116 |
|
306 |
+
| 0.4171 | 5.2041 | 510 | 0.8097 | 0.6385 | 0.8097 | 0.8999 |
|
307 |
+
| 0.4171 | 5.2245 | 512 | 0.7317 | 0.6624 | 0.7317 | 0.8554 |
|
308 |
+
| 0.4171 | 5.2449 | 514 | 0.6928 | 0.6096 | 0.6928 | 0.8323 |
|
309 |
+
|
310 |
+
|
311 |
+
### Framework versions
|
312 |
+
|
313 |
+
- Transformers 4.44.2
|
314 |
+
- Pytorch 2.4.0+cu118
|
315 |
+
- Datasets 2.21.0
|
316 |
+
- 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 sha256:406998652120916111caef60d271da57eafadfb740352288525eb0b95982d38e
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25689377b768520b52a4bce33dc3e39bb6734822f2af1e18ce701306692d195e
|
3 |
+
size 5240
|