Training in progress, step 500
Browse files- README.md +341 -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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_task2_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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_task2_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: 0.7559
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- Qwk: 0.4469
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- Mse: 0.7559
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- Rmse: 0.8694
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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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 | 0.0714 | 2 | 4.1593 | -0.0228 | 4.1593 | 2.0394 |
|
53 |
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| No log | 0.1429 | 4 | 2.1598 | 0.0043 | 2.1598 | 1.4696 |
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54 |
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| No log | 0.2143 | 6 | 1.3269 | 0.0048 | 1.3269 | 1.1519 |
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55 |
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| No log | 0.2857 | 8 | 0.9564 | 0.0572 | 0.9564 | 0.9779 |
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56 |
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| No log | 0.3571 | 10 | 0.9769 | -0.0210 | 0.9769 | 0.9884 |
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| No log | 0.4286 | 12 | 1.2247 | 0.0262 | 1.2247 | 1.1067 |
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| No log | 0.5 | 14 | 1.1861 | 0.0469 | 1.1861 | 1.0891 |
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| No log | 0.5714 | 16 | 0.8378 | 0.2582 | 0.8378 | 0.9153 |
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| No log | 0.6429 | 18 | 0.7382 | 0.2883 | 0.7382 | 0.8592 |
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61 |
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| No log | 0.7143 | 20 | 0.7602 | 0.2862 | 0.7602 | 0.8719 |
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| No log | 0.7857 | 22 | 0.8478 | 0.2354 | 0.8478 | 0.9208 |
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| No log | 0.8571 | 24 | 0.9453 | 0.2219 | 0.9453 | 0.9722 |
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| No log | 0.9286 | 26 | 1.3071 | 0.0622 | 1.3071 | 1.1433 |
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| No log | 1.0 | 28 | 1.3621 | 0.0573 | 1.3621 | 1.1671 |
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| No log | 1.0714 | 30 | 1.3474 | 0.0697 | 1.3474 | 1.1608 |
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67 |
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| No log | 1.1429 | 32 | 1.0976 | 0.0888 | 1.0976 | 1.0477 |
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| No log | 1.2143 | 34 | 1.0354 | 0.0848 | 1.0354 | 1.0175 |
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| No log | 1.2857 | 36 | 0.8457 | 0.2624 | 0.8457 | 0.9196 |
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70 |
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| No log | 1.3571 | 38 | 0.8137 | 0.2879 | 0.8137 | 0.9021 |
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71 |
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| No log | 1.4286 | 40 | 0.9247 | 0.2267 | 0.9247 | 0.9616 |
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72 |
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| No log | 1.5 | 42 | 1.0332 | 0.1818 | 1.0332 | 1.0165 |
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73 |
+
| No log | 1.5714 | 44 | 1.2912 | 0.1781 | 1.2912 | 1.1363 |
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74 |
+
| No log | 1.6429 | 46 | 1.3734 | 0.1326 | 1.3734 | 1.1719 |
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+
| No log | 1.7143 | 48 | 1.3638 | 0.0769 | 1.3638 | 1.1678 |
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76 |
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| No log | 1.7857 | 50 | 1.1421 | 0.0887 | 1.1421 | 1.0687 |
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| No log | 1.8571 | 52 | 0.8793 | 0.2368 | 0.8793 | 0.9377 |
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+
| No log | 1.9286 | 54 | 0.6616 | 0.3230 | 0.6616 | 0.8134 |
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+
| No log | 2.0 | 56 | 0.6470 | 0.3613 | 0.6470 | 0.8043 |
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80 |
+
| No log | 2.0714 | 58 | 0.6884 | 0.3883 | 0.6884 | 0.8297 |
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81 |
+
| No log | 2.1429 | 60 | 0.7424 | 0.3683 | 0.7424 | 0.8616 |
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82 |
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| No log | 2.2143 | 62 | 0.9312 | 0.2472 | 0.9312 | 0.9650 |
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| No log | 2.2857 | 64 | 1.2590 | 0.2372 | 1.2590 | 1.1220 |
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+
| No log | 2.3571 | 66 | 1.3449 | 0.1646 | 1.3449 | 1.1597 |
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+
| No log | 2.4286 | 68 | 1.0633 | 0.1850 | 1.0633 | 1.0311 |
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86 |
+
| No log | 2.5 | 70 | 0.8954 | 0.2653 | 0.8954 | 0.9463 |
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+
| No log | 2.5714 | 72 | 1.0334 | 0.2049 | 1.0334 | 1.0166 |
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+
| No log | 2.6429 | 74 | 0.9250 | 0.2010 | 0.9250 | 0.9617 |
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+
| No log | 2.7143 | 76 | 0.6773 | 0.3951 | 0.6773 | 0.8230 |
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90 |
+
| No log | 2.7857 | 78 | 0.6300 | 0.4692 | 0.6300 | 0.7937 |
|
91 |
+
| No log | 2.8571 | 80 | 0.6010 | 0.4902 | 0.6010 | 0.7752 |
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92 |
+
| No log | 2.9286 | 82 | 0.6287 | 0.4980 | 0.6287 | 0.7929 |
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93 |
+
| No log | 3.0 | 84 | 0.5682 | 0.5591 | 0.5682 | 0.7538 |
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94 |
+
| No log | 3.0714 | 86 | 0.5863 | 0.5491 | 0.5863 | 0.7657 |
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95 |
+
| No log | 3.1429 | 88 | 0.5998 | 0.5381 | 0.5998 | 0.7745 |
|
96 |
+
| No log | 3.2143 | 90 | 0.6655 | 0.4857 | 0.6655 | 0.8158 |
|
97 |
+
| No log | 3.2857 | 92 | 0.6123 | 0.5396 | 0.6123 | 0.7825 |
|
98 |
+
| No log | 3.3571 | 94 | 0.5311 | 0.5011 | 0.5311 | 0.7288 |
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99 |
+
| No log | 3.4286 | 96 | 0.5472 | 0.5372 | 0.5472 | 0.7397 |
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+
| No log | 3.5 | 98 | 0.5464 | 0.5114 | 0.5464 | 0.7392 |
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101 |
+
| No log | 3.5714 | 100 | 0.6435 | 0.5804 | 0.6435 | 0.8022 |
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102 |
+
| No log | 3.6429 | 102 | 0.7764 | 0.5025 | 0.7764 | 0.8811 |
|
103 |
+
| No log | 3.7143 | 104 | 0.6779 | 0.5846 | 0.6779 | 0.8234 |
|
104 |
+
| No log | 3.7857 | 106 | 0.7053 | 0.5656 | 0.7053 | 0.8398 |
|
105 |
+
| No log | 3.8571 | 108 | 0.8183 | 0.4916 | 0.8183 | 0.9046 |
|
106 |
+
| No log | 3.9286 | 110 | 0.7384 | 0.5085 | 0.7384 | 0.8593 |
|
107 |
+
| No log | 4.0 | 112 | 0.7708 | 0.5115 | 0.7708 | 0.8779 |
|
108 |
+
| No log | 4.0714 | 114 | 0.9794 | 0.4040 | 0.9794 | 0.9896 |
|
109 |
+
| No log | 4.1429 | 116 | 1.2303 | 0.3288 | 1.2303 | 1.1092 |
|
110 |
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| No log | 4.2143 | 118 | 0.8766 | 0.4014 | 0.8766 | 0.9363 |
|
111 |
+
| No log | 4.2857 | 120 | 0.6909 | 0.4891 | 0.6909 | 0.8312 |
|
112 |
+
| No log | 4.3571 | 122 | 0.5858 | 0.5515 | 0.5858 | 0.7654 |
|
113 |
+
| No log | 4.4286 | 124 | 0.6197 | 0.4932 | 0.6197 | 0.7872 |
|
114 |
+
| No log | 4.5 | 126 | 0.8154 | 0.4649 | 0.8154 | 0.9030 |
|
115 |
+
| No log | 4.5714 | 128 | 0.7935 | 0.5097 | 0.7935 | 0.8908 |
|
116 |
+
| No log | 4.6429 | 130 | 0.6746 | 0.5483 | 0.6746 | 0.8213 |
|
117 |
+
| No log | 4.7143 | 132 | 0.7185 | 0.5552 | 0.7185 | 0.8476 |
|
118 |
+
| No log | 4.7857 | 134 | 0.7687 | 0.5151 | 0.7687 | 0.8768 |
|
119 |
+
| No log | 4.8571 | 136 | 0.6742 | 0.5303 | 0.6742 | 0.8211 |
|
120 |
+
| No log | 4.9286 | 138 | 0.6277 | 0.5009 | 0.6277 | 0.7923 |
|
121 |
+
| No log | 5.0 | 140 | 0.6511 | 0.4898 | 0.6512 | 0.8069 |
|
122 |
+
| No log | 5.0714 | 142 | 0.6840 | 0.4734 | 0.6840 | 0.8270 |
|
123 |
+
| No log | 5.1429 | 144 | 0.6321 | 0.4525 | 0.6321 | 0.7950 |
|
124 |
+
| No log | 5.2143 | 146 | 0.6461 | 0.5123 | 0.6461 | 0.8038 |
|
125 |
+
| No log | 5.2857 | 148 | 0.6773 | 0.5004 | 0.6773 | 0.8230 |
|
126 |
+
| No log | 5.3571 | 150 | 0.8295 | 0.4600 | 0.8295 | 0.9108 |
|
127 |
+
| No log | 5.4286 | 152 | 0.9573 | 0.4506 | 0.9573 | 0.9784 |
|
128 |
+
| No log | 5.5 | 154 | 0.7958 | 0.4887 | 0.7958 | 0.8921 |
|
129 |
+
| No log | 5.5714 | 156 | 0.6858 | 0.5622 | 0.6858 | 0.8281 |
|
130 |
+
| No log | 5.6429 | 158 | 0.6716 | 0.5083 | 0.6716 | 0.8195 |
|
131 |
+
| No log | 5.7143 | 160 | 0.7871 | 0.4725 | 0.7871 | 0.8872 |
|
132 |
+
| No log | 5.7857 | 162 | 0.7952 | 0.4831 | 0.7952 | 0.8917 |
|
133 |
+
| No log | 5.8571 | 164 | 0.6591 | 0.5152 | 0.6591 | 0.8118 |
|
134 |
+
| No log | 5.9286 | 166 | 0.6177 | 0.5531 | 0.6177 | 0.7859 |
|
135 |
+
| No log | 6.0 | 168 | 0.6514 | 0.4940 | 0.6514 | 0.8071 |
|
136 |
+
| No log | 6.0714 | 170 | 0.9421 | 0.3754 | 0.9421 | 0.9706 |
|
137 |
+
| No log | 6.1429 | 172 | 1.1738 | 0.2841 | 1.1738 | 1.0834 |
|
138 |
+
| No log | 6.2143 | 174 | 1.0141 | 0.3187 | 1.0141 | 1.0070 |
|
139 |
+
| No log | 6.2857 | 176 | 0.6629 | 0.5560 | 0.6629 | 0.8142 |
|
140 |
+
| No log | 6.3571 | 178 | 0.5937 | 0.5414 | 0.5937 | 0.7706 |
|
141 |
+
| No log | 6.4286 | 180 | 0.6127 | 0.5379 | 0.6127 | 0.7827 |
|
142 |
+
| No log | 6.5 | 182 | 0.7320 | 0.4691 | 0.7320 | 0.8555 |
|
143 |
+
| No log | 6.5714 | 184 | 0.7497 | 0.4893 | 0.7497 | 0.8658 |
|
144 |
+
| No log | 6.6429 | 186 | 0.7482 | 0.5500 | 0.7482 | 0.8650 |
|
145 |
+
| No log | 6.7143 | 188 | 0.6558 | 0.5347 | 0.6558 | 0.8098 |
|
146 |
+
| No log | 6.7857 | 190 | 0.6395 | 0.4986 | 0.6395 | 0.7997 |
|
147 |
+
| No log | 6.8571 | 192 | 0.6639 | 0.4686 | 0.6639 | 0.8148 |
|
148 |
+
| No log | 6.9286 | 194 | 0.7456 | 0.5474 | 0.7456 | 0.8635 |
|
149 |
+
| No log | 7.0 | 196 | 0.8644 | 0.4289 | 0.8644 | 0.9297 |
|
150 |
+
| No log | 7.0714 | 198 | 0.7391 | 0.5568 | 0.7391 | 0.8597 |
|
151 |
+
| No log | 7.1429 | 200 | 0.6460 | 0.5153 | 0.6460 | 0.8037 |
|
152 |
+
| No log | 7.2143 | 202 | 0.6627 | 0.4896 | 0.6627 | 0.8141 |
|
153 |
+
| No log | 7.2857 | 204 | 0.6451 | 0.4945 | 0.6451 | 0.8032 |
|
154 |
+
| No log | 7.3571 | 206 | 0.6771 | 0.4857 | 0.6771 | 0.8229 |
|
155 |
+
| No log | 7.4286 | 208 | 0.7933 | 0.4474 | 0.7933 | 0.8907 |
|
156 |
+
| No log | 7.5 | 210 | 0.7990 | 0.4367 | 0.7990 | 0.8938 |
|
157 |
+
| No log | 7.5714 | 212 | 0.6717 | 0.5038 | 0.6717 | 0.8196 |
|
158 |
+
| No log | 7.6429 | 214 | 0.6229 | 0.4373 | 0.6229 | 0.7893 |
|
159 |
+
| No log | 7.7143 | 216 | 0.6649 | 0.4415 | 0.6649 | 0.8154 |
|
160 |
+
| No log | 7.7857 | 218 | 0.6493 | 0.4689 | 0.6493 | 0.8058 |
|
161 |
+
| No log | 7.8571 | 220 | 0.7624 | 0.4274 | 0.7624 | 0.8732 |
|
162 |
+
| No log | 7.9286 | 222 | 1.0327 | 0.3565 | 1.0327 | 1.0162 |
|
163 |
+
| No log | 8.0 | 224 | 1.2454 | 0.2731 | 1.2454 | 1.1160 |
|
164 |
+
| No log | 8.0714 | 226 | 1.1975 | 0.2714 | 1.1975 | 1.0943 |
|
165 |
+
| No log | 8.1429 | 228 | 0.9038 | 0.3750 | 0.9038 | 0.9507 |
|
166 |
+
| No log | 8.2143 | 230 | 0.7154 | 0.4549 | 0.7154 | 0.8458 |
|
167 |
+
| No log | 8.2857 | 232 | 0.6691 | 0.4236 | 0.6691 | 0.8180 |
|
168 |
+
| No log | 8.3571 | 234 | 0.6419 | 0.4217 | 0.6419 | 0.8012 |
|
169 |
+
| No log | 8.4286 | 236 | 0.6417 | 0.4395 | 0.6417 | 0.8011 |
|
170 |
+
| No log | 8.5 | 238 | 0.6648 | 0.4704 | 0.6648 | 0.8154 |
|
171 |
+
| No log | 8.5714 | 240 | 0.6488 | 0.4613 | 0.6488 | 0.8055 |
|
172 |
+
| No log | 8.6429 | 242 | 0.6583 | 0.4337 | 0.6583 | 0.8113 |
|
173 |
+
| No log | 8.7143 | 244 | 0.6694 | 0.4168 | 0.6694 | 0.8182 |
|
174 |
+
| No log | 8.7857 | 246 | 0.6807 | 0.4754 | 0.6807 | 0.8251 |
|
175 |
+
| No log | 8.8571 | 248 | 0.6966 | 0.4969 | 0.6966 | 0.8346 |
|
176 |
+
| No log | 8.9286 | 250 | 0.7216 | 0.4694 | 0.7216 | 0.8494 |
|
177 |
+
| No log | 9.0 | 252 | 0.7315 | 0.5096 | 0.7315 | 0.8553 |
|
178 |
+
| No log | 9.0714 | 254 | 0.6740 | 0.4715 | 0.6740 | 0.8210 |
|
179 |
+
| No log | 9.1429 | 256 | 0.6537 | 0.5005 | 0.6537 | 0.8085 |
|
180 |
+
| No log | 9.2143 | 258 | 0.6398 | 0.5018 | 0.6398 | 0.7999 |
|
181 |
+
| No log | 9.2857 | 260 | 0.6505 | 0.4948 | 0.6505 | 0.8066 |
|
182 |
+
| No log | 9.3571 | 262 | 0.7071 | 0.5194 | 0.7071 | 0.8409 |
|
183 |
+
| No log | 9.4286 | 264 | 0.6983 | 0.4930 | 0.6983 | 0.8356 |
|
184 |
+
| No log | 9.5 | 266 | 0.6684 | 0.4878 | 0.6684 | 0.8176 |
|
185 |
+
| No log | 9.5714 | 268 | 0.7331 | 0.4646 | 0.7331 | 0.8562 |
|
186 |
+
| No log | 9.6429 | 270 | 0.7766 | 0.4687 | 0.7766 | 0.8813 |
|
187 |
+
| No log | 9.7143 | 272 | 0.6957 | 0.4870 | 0.6957 | 0.8341 |
|
188 |
+
| No log | 9.7857 | 274 | 0.6554 | 0.4549 | 0.6554 | 0.8096 |
|
189 |
+
| No log | 9.8571 | 276 | 0.6555 | 0.4790 | 0.6555 | 0.8096 |
|
190 |
+
| No log | 9.9286 | 278 | 0.6396 | 0.4572 | 0.6396 | 0.7997 |
|
191 |
+
| No log | 10.0 | 280 | 0.6351 | 0.4367 | 0.6351 | 0.7969 |
|
192 |
+
| No log | 10.0714 | 282 | 0.6492 | 0.4676 | 0.6492 | 0.8057 |
|
193 |
+
| No log | 10.1429 | 284 | 0.6745 | 0.4844 | 0.6745 | 0.8213 |
|
194 |
+
| No log | 10.2143 | 286 | 0.7145 | 0.5232 | 0.7145 | 0.8453 |
|
195 |
+
| No log | 10.2857 | 288 | 0.8973 | 0.4677 | 0.8973 | 0.9473 |
|
196 |
+
| No log | 10.3571 | 290 | 1.0052 | 0.3941 | 1.0052 | 1.0026 |
|
197 |
+
| No log | 10.4286 | 292 | 0.8630 | 0.4614 | 0.8630 | 0.9290 |
|
198 |
+
| No log | 10.5 | 294 | 0.6842 | 0.5238 | 0.6842 | 0.8272 |
|
199 |
+
| No log | 10.5714 | 296 | 0.6658 | 0.4670 | 0.6658 | 0.8160 |
|
200 |
+
| No log | 10.6429 | 298 | 0.6920 | 0.4730 | 0.6920 | 0.8319 |
|
201 |
+
| No log | 10.7143 | 300 | 0.6280 | 0.4354 | 0.6280 | 0.7924 |
|
202 |
+
| No log | 10.7857 | 302 | 0.6002 | 0.5265 | 0.6002 | 0.7747 |
|
203 |
+
| No log | 10.8571 | 304 | 0.6108 | 0.5580 | 0.6108 | 0.7815 |
|
204 |
+
| No log | 10.9286 | 306 | 0.6127 | 0.5396 | 0.6127 | 0.7828 |
|
205 |
+
| No log | 11.0 | 308 | 0.6292 | 0.4557 | 0.6292 | 0.7932 |
|
206 |
+
| No log | 11.0714 | 310 | 0.7055 | 0.4839 | 0.7055 | 0.8399 |
|
207 |
+
| No log | 11.1429 | 312 | 0.6865 | 0.4845 | 0.6865 | 0.8285 |
|
208 |
+
| No log | 11.2143 | 314 | 0.6383 | 0.4830 | 0.6383 | 0.7989 |
|
209 |
+
| No log | 11.2857 | 316 | 0.6368 | 0.4909 | 0.6368 | 0.7980 |
|
210 |
+
| No log | 11.3571 | 318 | 0.6390 | 0.4909 | 0.6390 | 0.7994 |
|
211 |
+
| No log | 11.4286 | 320 | 0.6535 | 0.4812 | 0.6535 | 0.8084 |
|
212 |
+
| No log | 11.5 | 322 | 0.6265 | 0.4383 | 0.6265 | 0.7915 |
|
213 |
+
| No log | 11.5714 | 324 | 0.6078 | 0.4865 | 0.6078 | 0.7796 |
|
214 |
+
| No log | 11.6429 | 326 | 0.6256 | 0.5504 | 0.6256 | 0.7910 |
|
215 |
+
| No log | 11.7143 | 328 | 0.6251 | 0.5527 | 0.6251 | 0.7907 |
|
216 |
+
| No log | 11.7857 | 330 | 0.6388 | 0.5489 | 0.6388 | 0.7992 |
|
217 |
+
| No log | 11.8571 | 332 | 0.6750 | 0.5369 | 0.6750 | 0.8216 |
|
218 |
+
| No log | 11.9286 | 334 | 0.7540 | 0.4936 | 0.7540 | 0.8683 |
|
219 |
+
| No log | 12.0 | 336 | 0.7801 | 0.4611 | 0.7801 | 0.8832 |
|
220 |
+
| No log | 12.0714 | 338 | 0.7023 | 0.4713 | 0.7023 | 0.8380 |
|
221 |
+
| No log | 12.1429 | 340 | 0.6443 | 0.5063 | 0.6443 | 0.8027 |
|
222 |
+
| No log | 12.2143 | 342 | 0.6551 | 0.5005 | 0.6551 | 0.8094 |
|
223 |
+
| No log | 12.2857 | 344 | 0.6362 | 0.4954 | 0.6362 | 0.7976 |
|
224 |
+
| No log | 12.3571 | 346 | 0.6266 | 0.4940 | 0.6266 | 0.7916 |
|
225 |
+
| No log | 12.4286 | 348 | 0.6250 | 0.4739 | 0.6250 | 0.7906 |
|
226 |
+
| No log | 12.5 | 350 | 0.6449 | 0.5156 | 0.6449 | 0.8031 |
|
227 |
+
| No log | 12.5714 | 352 | 0.6755 | 0.5082 | 0.6755 | 0.8219 |
|
228 |
+
| No log | 12.6429 | 354 | 0.6559 | 0.4834 | 0.6559 | 0.8099 |
|
229 |
+
| No log | 12.7143 | 356 | 0.6827 | 0.5066 | 0.6827 | 0.8263 |
|
230 |
+
| No log | 12.7857 | 358 | 0.7062 | 0.5111 | 0.7062 | 0.8403 |
|
231 |
+
| No log | 12.8571 | 360 | 0.6883 | 0.4878 | 0.6883 | 0.8297 |
|
232 |
+
| No log | 12.9286 | 362 | 0.6740 | 0.4767 | 0.6740 | 0.8210 |
|
233 |
+
| No log | 13.0 | 364 | 0.6703 | 0.4673 | 0.6703 | 0.8187 |
|
234 |
+
| No log | 13.0714 | 366 | 0.6685 | 0.4792 | 0.6685 | 0.8176 |
|
235 |
+
| No log | 13.1429 | 368 | 0.6605 | 0.4491 | 0.6605 | 0.8127 |
|
236 |
+
| No log | 13.2143 | 370 | 0.6652 | 0.4677 | 0.6652 | 0.8156 |
|
237 |
+
| No log | 13.2857 | 372 | 0.6813 | 0.4775 | 0.6813 | 0.8254 |
|
238 |
+
| No log | 13.3571 | 374 | 0.6669 | 0.4802 | 0.6669 | 0.8166 |
|
239 |
+
| No log | 13.4286 | 376 | 0.6588 | 0.4869 | 0.6588 | 0.8117 |
|
240 |
+
| No log | 13.5 | 378 | 0.6295 | 0.5352 | 0.6295 | 0.7934 |
|
241 |
+
| No log | 13.5714 | 380 | 0.6847 | 0.4672 | 0.6847 | 0.8275 |
|
242 |
+
| No log | 13.6429 | 382 | 0.7197 | 0.4500 | 0.7197 | 0.8483 |
|
243 |
+
| No log | 13.7143 | 384 | 0.6628 | 0.4926 | 0.6628 | 0.8142 |
|
244 |
+
| No log | 13.7857 | 386 | 0.6650 | 0.5646 | 0.6650 | 0.8155 |
|
245 |
+
| No log | 13.8571 | 388 | 0.7618 | 0.4767 | 0.7618 | 0.8728 |
|
246 |
+
| No log | 13.9286 | 390 | 0.7741 | 0.4922 | 0.7741 | 0.8798 |
|
247 |
+
| No log | 14.0 | 392 | 0.7838 | 0.4997 | 0.7838 | 0.8853 |
|
248 |
+
| No log | 14.0714 | 394 | 0.8116 | 0.4753 | 0.8116 | 0.9009 |
|
249 |
+
| No log | 14.1429 | 396 | 0.7701 | 0.4934 | 0.7701 | 0.8775 |
|
250 |
+
| No log | 14.2143 | 398 | 0.7419 | 0.5059 | 0.7419 | 0.8613 |
|
251 |
+
| No log | 14.2857 | 400 | 0.6618 | 0.5538 | 0.6618 | 0.8135 |
|
252 |
+
| No log | 14.3571 | 402 | 0.6218 | 0.5403 | 0.6218 | 0.7885 |
|
253 |
+
| No log | 14.4286 | 404 | 0.6434 | 0.5538 | 0.6434 | 0.8021 |
|
254 |
+
| No log | 14.5 | 406 | 0.6150 | 0.5729 | 0.6150 | 0.7842 |
|
255 |
+
| No log | 14.5714 | 408 | 0.5943 | 0.5132 | 0.5943 | 0.7709 |
|
256 |
+
| No log | 14.6429 | 410 | 0.6112 | 0.5646 | 0.6112 | 0.7818 |
|
257 |
+
| No log | 14.7143 | 412 | 0.6099 | 0.5312 | 0.6099 | 0.7810 |
|
258 |
+
| No log | 14.7857 | 414 | 0.6323 | 0.5555 | 0.6323 | 0.7952 |
|
259 |
+
| No log | 14.8571 | 416 | 0.6967 | 0.5251 | 0.6967 | 0.8347 |
|
260 |
+
| No log | 14.9286 | 418 | 0.7958 | 0.5023 | 0.7958 | 0.8921 |
|
261 |
+
| No log | 15.0 | 420 | 0.7822 | 0.4981 | 0.7822 | 0.8844 |
|
262 |
+
| No log | 15.0714 | 422 | 0.7544 | 0.5158 | 0.7544 | 0.8686 |
|
263 |
+
| No log | 15.1429 | 424 | 0.6841 | 0.5261 | 0.6841 | 0.8271 |
|
264 |
+
| No log | 15.2143 | 426 | 0.6847 | 0.5469 | 0.6847 | 0.8275 |
|
265 |
+
| No log | 15.2857 | 428 | 0.7058 | 0.5182 | 0.7058 | 0.8401 |
|
266 |
+
| No log | 15.3571 | 430 | 0.6550 | 0.4960 | 0.6550 | 0.8093 |
|
267 |
+
| No log | 15.4286 | 432 | 0.6205 | 0.5365 | 0.6205 | 0.7877 |
|
268 |
+
| No log | 15.5 | 434 | 0.6053 | 0.5118 | 0.6053 | 0.7780 |
|
269 |
+
| No log | 15.5714 | 436 | 0.6128 | 0.5396 | 0.6128 | 0.7828 |
|
270 |
+
| No log | 15.6429 | 438 | 0.6272 | 0.4991 | 0.6272 | 0.7919 |
|
271 |
+
| No log | 15.7143 | 440 | 0.6217 | 0.5641 | 0.6217 | 0.7885 |
|
272 |
+
| No log | 15.7857 | 442 | 0.6288 | 0.4868 | 0.6288 | 0.7929 |
|
273 |
+
| No log | 15.8571 | 444 | 0.6378 | 0.5006 | 0.6378 | 0.7986 |
|
274 |
+
| No log | 15.9286 | 446 | 0.6218 | 0.5161 | 0.6218 | 0.7885 |
|
275 |
+
| No log | 16.0 | 448 | 0.6248 | 0.5069 | 0.6248 | 0.7904 |
|
276 |
+
| No log | 16.0714 | 450 | 0.6389 | 0.5024 | 0.6389 | 0.7993 |
|
277 |
+
| No log | 16.1429 | 452 | 0.6511 | 0.5024 | 0.6511 | 0.8069 |
|
278 |
+
| No log | 16.2143 | 454 | 0.6510 | 0.5024 | 0.6510 | 0.8069 |
|
279 |
+
| No log | 16.2857 | 456 | 0.6527 | 0.4820 | 0.6527 | 0.8079 |
|
280 |
+
| No log | 16.3571 | 458 | 0.6811 | 0.5542 | 0.6811 | 0.8253 |
|
281 |
+
| No log | 16.4286 | 460 | 0.6544 | 0.5625 | 0.6544 | 0.8090 |
|
282 |
+
| No log | 16.5 | 462 | 0.6228 | 0.4984 | 0.6228 | 0.7892 |
|
283 |
+
| No log | 16.5714 | 464 | 0.6455 | 0.5242 | 0.6455 | 0.8034 |
|
284 |
+
| No log | 16.6429 | 466 | 0.6620 | 0.5408 | 0.6620 | 0.8136 |
|
285 |
+
| No log | 16.7143 | 468 | 0.6792 | 0.5239 | 0.6792 | 0.8242 |
|
286 |
+
| No log | 16.7857 | 470 | 0.6858 | 0.5333 | 0.6858 | 0.8281 |
|
287 |
+
| No log | 16.8571 | 472 | 0.7191 | 0.5327 | 0.7191 | 0.8480 |
|
288 |
+
| No log | 16.9286 | 474 | 0.6999 | 0.5305 | 0.6999 | 0.8366 |
|
289 |
+
| No log | 17.0 | 476 | 0.6634 | 0.5378 | 0.6634 | 0.8145 |
|
290 |
+
| No log | 17.0714 | 478 | 0.6407 | 0.5254 | 0.6407 | 0.8004 |
|
291 |
+
| No log | 17.1429 | 480 | 0.6331 | 0.5088 | 0.6331 | 0.7957 |
|
292 |
+
| No log | 17.2143 | 482 | 0.6203 | 0.5473 | 0.6203 | 0.7876 |
|
293 |
+
| No log | 17.2857 | 484 | 0.6176 | 0.5178 | 0.6176 | 0.7859 |
|
294 |
+
| No log | 17.3571 | 486 | 0.6442 | 0.5354 | 0.6442 | 0.8026 |
|
295 |
+
| No log | 17.4286 | 488 | 0.6433 | 0.5245 | 0.6433 | 0.8020 |
|
296 |
+
| No log | 17.5 | 490 | 0.6366 | 0.5357 | 0.6366 | 0.7979 |
|
297 |
+
| No log | 17.5714 | 492 | 0.6372 | 0.5288 | 0.6372 | 0.7982 |
|
298 |
+
| No log | 17.6429 | 494 | 0.6348 | 0.5408 | 0.6348 | 0.7968 |
|
299 |
+
| No log | 17.7143 | 496 | 0.6461 | 0.5358 | 0.6461 | 0.8038 |
|
300 |
+
| No log | 17.7857 | 498 | 0.6529 | 0.5176 | 0.6529 | 0.8080 |
|
301 |
+
| 0.3235 | 17.8571 | 500 | 0.6651 | 0.5097 | 0.6651 | 0.8155 |
|
302 |
+
| 0.3235 | 17.9286 | 502 | 0.6966 | 0.5119 | 0.6966 | 0.8346 |
|
303 |
+
| 0.3235 | 18.0 | 504 | 0.7478 | 0.5071 | 0.7478 | 0.8647 |
|
304 |
+
| 0.3235 | 18.0714 | 506 | 0.7675 | 0.5129 | 0.7675 | 0.8761 |
|
305 |
+
| 0.3235 | 18.1429 | 508 | 0.6929 | 0.4991 | 0.6929 | 0.8324 |
|
306 |
+
| 0.3235 | 18.2143 | 510 | 0.6470 | 0.5618 | 0.6470 | 0.8044 |
|
307 |
+
| 0.3235 | 18.2857 | 512 | 0.6581 | 0.5228 | 0.6581 | 0.8113 |
|
308 |
+
| 0.3235 | 18.3571 | 514 | 0.6532 | 0.5386 | 0.6532 | 0.8082 |
|
309 |
+
| 0.3235 | 18.4286 | 516 | 0.6507 | 0.5293 | 0.6507 | 0.8067 |
|
310 |
+
| 0.3235 | 18.5 | 518 | 0.6412 | 0.5172 | 0.6412 | 0.8008 |
|
311 |
+
| 0.3235 | 18.5714 | 520 | 0.6679 | 0.5454 | 0.6679 | 0.8172 |
|
312 |
+
| 0.3235 | 18.6429 | 522 | 0.6832 | 0.5132 | 0.6832 | 0.8266 |
|
313 |
+
| 0.3235 | 18.7143 | 524 | 0.6752 | 0.5476 | 0.6752 | 0.8217 |
|
314 |
+
| 0.3235 | 18.7857 | 526 | 0.6675 | 0.5111 | 0.6675 | 0.8170 |
|
315 |
+
| 0.3235 | 18.8571 | 528 | 0.6613 | 0.5135 | 0.6613 | 0.8132 |
|
316 |
+
| 0.3235 | 18.9286 | 530 | 0.6710 | 0.5106 | 0.6710 | 0.8191 |
|
317 |
+
| 0.3235 | 19.0 | 532 | 0.7103 | 0.5343 | 0.7103 | 0.8428 |
|
318 |
+
| 0.3235 | 19.0714 | 534 | 0.7103 | 0.5217 | 0.7103 | 0.8428 |
|
319 |
+
| 0.3235 | 19.1429 | 536 | 0.6637 | 0.5614 | 0.6637 | 0.8147 |
|
320 |
+
| 0.3235 | 19.2143 | 538 | 0.6281 | 0.5048 | 0.6281 | 0.7925 |
|
321 |
+
| 0.3235 | 19.2857 | 540 | 0.6242 | 0.5069 | 0.6242 | 0.7901 |
|
322 |
+
| 0.3235 | 19.3571 | 542 | 0.6401 | 0.5155 | 0.6401 | 0.8001 |
|
323 |
+
| 0.3235 | 19.4286 | 544 | 0.6865 | 0.5373 | 0.6865 | 0.8286 |
|
324 |
+
| 0.3235 | 19.5 | 546 | 0.7035 | 0.5199 | 0.7035 | 0.8388 |
|
325 |
+
| 0.3235 | 19.5714 | 548 | 0.6893 | 0.5117 | 0.6893 | 0.8302 |
|
326 |
+
| 0.3235 | 19.6429 | 550 | 0.6841 | 0.5203 | 0.6841 | 0.8271 |
|
327 |
+
| 0.3235 | 19.7143 | 552 | 0.6912 | 0.5203 | 0.6912 | 0.8314 |
|
328 |
+
| 0.3235 | 19.7857 | 554 | 0.7249 | 0.5197 | 0.7249 | 0.8514 |
|
329 |
+
| 0.3235 | 19.8571 | 556 | 0.7686 | 0.4605 | 0.7686 | 0.8767 |
|
330 |
+
| 0.3235 | 19.9286 | 558 | 0.7789 | 0.4690 | 0.7789 | 0.8825 |
|
331 |
+
| 0.3235 | 20.0 | 560 | 0.7347 | 0.4516 | 0.7347 | 0.8572 |
|
332 |
+
| 0.3235 | 20.0714 | 562 | 0.7703 | 0.4489 | 0.7703 | 0.8777 |
|
333 |
+
| 0.3235 | 20.1429 | 564 | 0.7559 | 0.4469 | 0.7559 | 0.8694 |
|
334 |
+
|
335 |
+
|
336 |
+
### Framework versions
|
337 |
+
|
338 |
+
- Transformers 4.44.2
|
339 |
+
- Pytorch 2.4.0+cu118
|
340 |
+
- Datasets 2.21.0
|
341 |
+
- 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 sha256:69f4780d96c7b1823448341aa2bc8d0e4e96fc3bc35cbce8559e547f506ed74f
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:55326fbc9afda7e727be5f46548da3118723d64237dbf4000f44e6b61fa508ac
|
3 |
+
size 5304
|