Training in progress, step 500
Browse files- README.md +324 -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_run1_AugV5_k7_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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+
# ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k7_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: 0.5726
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- Qwk: 0.5026
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- Mse: 0.5726
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- Rmse: 0.7567
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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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+
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|:------:|
|
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+
| No log | 0.0541 | 2 | 4.3541 | -0.0210 | 4.3541 | 2.0866 |
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53 |
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| No log | 0.1081 | 4 | 2.4514 | 0.0253 | 2.4514 | 1.5657 |
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54 |
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| No log | 0.1622 | 6 | 1.4358 | -0.0076 | 1.4358 | 1.1982 |
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| No log | 0.2162 | 8 | 0.8629 | 0.1417 | 0.8629 | 0.9289 |
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| No log | 0.2703 | 10 | 0.9551 | 0.0408 | 0.9551 | 0.9773 |
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| No log | 0.3243 | 12 | 1.5411 | -0.1028 | 1.5411 | 1.2414 |
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| No log | 0.3784 | 14 | 1.2148 | -0.1164 | 1.2148 | 1.1022 |
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| No log | 0.4324 | 16 | 0.8456 | 0.1064 | 0.8456 | 0.9195 |
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| No log | 0.4865 | 18 | 0.8157 | 0.1006 | 0.8157 | 0.9032 |
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| No log | 0.5405 | 20 | 0.8061 | 0.0305 | 0.8061 | 0.8978 |
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| No log | 0.5946 | 22 | 0.7715 | 0.1867 | 0.7715 | 0.8784 |
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| No log | 0.6486 | 24 | 0.8901 | 0.1671 | 0.8901 | 0.9434 |
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| No log | 0.7027 | 26 | 1.5162 | 0.0374 | 1.5162 | 1.2313 |
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| No log | 0.7568 | 28 | 1.9100 | 0.0847 | 1.9100 | 1.3820 |
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| No log | 0.8108 | 30 | 1.6544 | 0.1013 | 1.6544 | 1.2862 |
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| No log | 0.8649 | 32 | 1.1402 | 0.1787 | 1.1402 | 1.0678 |
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| No log | 0.9189 | 34 | 0.8647 | 0.2256 | 0.8647 | 0.9299 |
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| No log | 0.9730 | 36 | 0.7925 | 0.2927 | 0.7925 | 0.8902 |
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| No log | 1.0270 | 38 | 0.7843 | 0.3097 | 0.7843 | 0.8856 |
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| No log | 1.0811 | 40 | 1.0055 | 0.1752 | 1.0055 | 1.0028 |
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| No log | 1.1351 | 42 | 0.9119 | 0.2397 | 0.9119 | 0.9549 |
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| No log | 1.1892 | 44 | 0.6603 | 0.2827 | 0.6603 | 0.8126 |
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| No log | 1.2432 | 46 | 0.6512 | 0.3183 | 0.6512 | 0.8070 |
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| No log | 1.2973 | 48 | 0.6730 | 0.3948 | 0.6730 | 0.8204 |
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76 |
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| No log | 1.3514 | 50 | 0.8261 | 0.2446 | 0.8261 | 0.9089 |
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| No log | 1.4054 | 52 | 1.2489 | 0.1796 | 1.2489 | 1.1175 |
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| No log | 1.4595 | 54 | 1.1278 | 0.2115 | 1.1278 | 1.0620 |
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| No log | 1.5135 | 56 | 0.8622 | 0.2920 | 0.8622 | 0.9286 |
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| No log | 1.5676 | 58 | 0.6746 | 0.3714 | 0.6746 | 0.8213 |
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| No log | 1.6216 | 60 | 0.6896 | 0.3836 | 0.6896 | 0.8304 |
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| No log | 1.6757 | 62 | 0.6810 | 0.3665 | 0.6810 | 0.8252 |
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| No log | 1.7297 | 64 | 0.9527 | 0.3180 | 0.9527 | 0.9760 |
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| No log | 1.7838 | 66 | 0.9585 | 0.3501 | 0.9585 | 0.9790 |
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| No log | 1.8378 | 68 | 0.6698 | 0.3835 | 0.6698 | 0.8184 |
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| No log | 1.8919 | 70 | 0.5928 | 0.4523 | 0.5928 | 0.7699 |
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+
| No log | 1.9459 | 72 | 0.5979 | 0.4548 | 0.5979 | 0.7732 |
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| No log | 2.0 | 74 | 0.6540 | 0.3919 | 0.6540 | 0.8087 |
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| No log | 2.0541 | 76 | 0.6031 | 0.3970 | 0.6031 | 0.7766 |
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| No log | 2.1081 | 78 | 0.5790 | 0.4234 | 0.5790 | 0.7609 |
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91 |
+
| No log | 2.1622 | 80 | 0.6348 | 0.3726 | 0.6348 | 0.7968 |
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92 |
+
| No log | 2.2162 | 82 | 0.7505 | 0.3466 | 0.7505 | 0.8663 |
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93 |
+
| No log | 2.2703 | 84 | 0.7160 | 0.3668 | 0.7160 | 0.8461 |
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94 |
+
| No log | 2.3243 | 86 | 0.6086 | 0.4035 | 0.6086 | 0.7801 |
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95 |
+
| No log | 2.3784 | 88 | 0.5714 | 0.4128 | 0.5714 | 0.7559 |
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96 |
+
| No log | 2.4324 | 90 | 0.5732 | 0.4059 | 0.5732 | 0.7571 |
|
97 |
+
| No log | 2.4865 | 92 | 0.5700 | 0.5264 | 0.5700 | 0.7550 |
|
98 |
+
| No log | 2.5405 | 94 | 0.5887 | 0.5533 | 0.5887 | 0.7673 |
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99 |
+
| No log | 2.5946 | 96 | 0.6184 | 0.5614 | 0.6184 | 0.7864 |
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100 |
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| No log | 2.6486 | 98 | 0.6668 | 0.5032 | 0.6668 | 0.8166 |
|
101 |
+
| No log | 2.7027 | 100 | 0.8228 | 0.4964 | 0.8228 | 0.9071 |
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102 |
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| No log | 2.7568 | 102 | 0.8011 | 0.4929 | 0.8011 | 0.8950 |
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103 |
+
| No log | 2.8108 | 104 | 0.7849 | 0.4820 | 0.7849 | 0.8860 |
|
104 |
+
| No log | 2.8649 | 106 | 0.6059 | 0.4949 | 0.6059 | 0.7784 |
|
105 |
+
| No log | 2.9189 | 108 | 0.5975 | 0.5410 | 0.5975 | 0.7730 |
|
106 |
+
| No log | 2.9730 | 110 | 0.6304 | 0.4223 | 0.6304 | 0.7940 |
|
107 |
+
| No log | 3.0270 | 112 | 0.6990 | 0.4292 | 0.6990 | 0.8361 |
|
108 |
+
| No log | 3.0811 | 114 | 0.7189 | 0.4324 | 0.7189 | 0.8479 |
|
109 |
+
| No log | 3.1351 | 116 | 0.6146 | 0.5114 | 0.6146 | 0.7839 |
|
110 |
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| No log | 3.1892 | 118 | 0.6554 | 0.5816 | 0.6554 | 0.8095 |
|
111 |
+
| No log | 3.2432 | 120 | 0.6712 | 0.5602 | 0.6712 | 0.8193 |
|
112 |
+
| No log | 3.2973 | 122 | 0.6397 | 0.5108 | 0.6397 | 0.7998 |
|
113 |
+
| No log | 3.3514 | 124 | 0.6976 | 0.4645 | 0.6976 | 0.8352 |
|
114 |
+
| No log | 3.4054 | 126 | 0.6765 | 0.4796 | 0.6765 | 0.8225 |
|
115 |
+
| No log | 3.4595 | 128 | 0.6244 | 0.5166 | 0.6244 | 0.7902 |
|
116 |
+
| No log | 3.5135 | 130 | 0.6386 | 0.5563 | 0.6386 | 0.7992 |
|
117 |
+
| No log | 3.5676 | 132 | 0.6162 | 0.5228 | 0.6162 | 0.7850 |
|
118 |
+
| No log | 3.6216 | 134 | 0.6852 | 0.4218 | 0.6852 | 0.8278 |
|
119 |
+
| No log | 3.6757 | 136 | 0.7663 | 0.4452 | 0.7663 | 0.8754 |
|
120 |
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| No log | 3.7297 | 138 | 0.6480 | 0.4218 | 0.6480 | 0.8050 |
|
121 |
+
| No log | 3.7838 | 140 | 0.5882 | 0.4868 | 0.5882 | 0.7669 |
|
122 |
+
| No log | 3.8378 | 142 | 0.5804 | 0.5156 | 0.5804 | 0.7619 |
|
123 |
+
| No log | 3.8919 | 144 | 0.5895 | 0.4856 | 0.5895 | 0.7678 |
|
124 |
+
| No log | 3.9459 | 146 | 0.6841 | 0.3973 | 0.6841 | 0.8271 |
|
125 |
+
| No log | 4.0 | 148 | 0.9337 | 0.4143 | 0.9337 | 0.9663 |
|
126 |
+
| No log | 4.0541 | 150 | 0.8348 | 0.4666 | 0.8348 | 0.9137 |
|
127 |
+
| No log | 4.1081 | 152 | 0.6204 | 0.4497 | 0.6204 | 0.7877 |
|
128 |
+
| No log | 4.1622 | 154 | 0.6406 | 0.5297 | 0.6406 | 0.8004 |
|
129 |
+
| No log | 4.2162 | 156 | 0.6405 | 0.5404 | 0.6405 | 0.8003 |
|
130 |
+
| No log | 4.2703 | 158 | 0.6873 | 0.4672 | 0.6873 | 0.8291 |
|
131 |
+
| No log | 4.3243 | 160 | 0.6828 | 0.4421 | 0.6828 | 0.8263 |
|
132 |
+
| No log | 4.3784 | 162 | 0.6059 | 0.4528 | 0.6059 | 0.7784 |
|
133 |
+
| No log | 4.4324 | 164 | 0.6404 | 0.5763 | 0.6404 | 0.8002 |
|
134 |
+
| No log | 4.4865 | 166 | 0.6777 | 0.5556 | 0.6777 | 0.8233 |
|
135 |
+
| No log | 4.5405 | 168 | 0.6361 | 0.5307 | 0.6361 | 0.7975 |
|
136 |
+
| No log | 4.5946 | 170 | 0.6361 | 0.5360 | 0.6361 | 0.7976 |
|
137 |
+
| No log | 4.6486 | 172 | 0.7015 | 0.5998 | 0.7015 | 0.8375 |
|
138 |
+
| No log | 4.7027 | 174 | 0.7863 | 0.5085 | 0.7863 | 0.8867 |
|
139 |
+
| No log | 4.7568 | 176 | 0.6868 | 0.5291 | 0.6868 | 0.8287 |
|
140 |
+
| No log | 4.8108 | 178 | 0.7924 | 0.5283 | 0.7924 | 0.8902 |
|
141 |
+
| No log | 4.8649 | 180 | 0.9258 | 0.4094 | 0.9258 | 0.9622 |
|
142 |
+
| No log | 4.9189 | 182 | 0.8084 | 0.4481 | 0.8084 | 0.8991 |
|
143 |
+
| No log | 4.9730 | 184 | 0.6599 | 0.4730 | 0.6599 | 0.8124 |
|
144 |
+
| No log | 5.0270 | 186 | 0.6462 | 0.4751 | 0.6462 | 0.8038 |
|
145 |
+
| No log | 5.0811 | 188 | 0.7072 | 0.4830 | 0.7072 | 0.8409 |
|
146 |
+
| No log | 5.1351 | 190 | 0.6682 | 0.5211 | 0.6682 | 0.8174 |
|
147 |
+
| No log | 5.1892 | 192 | 0.6031 | 0.4827 | 0.6031 | 0.7766 |
|
148 |
+
| No log | 5.2432 | 194 | 0.6725 | 0.4385 | 0.6725 | 0.8200 |
|
149 |
+
| No log | 5.2973 | 196 | 0.6256 | 0.4605 | 0.6256 | 0.7909 |
|
150 |
+
| No log | 5.3514 | 198 | 0.6309 | 0.5363 | 0.6309 | 0.7943 |
|
151 |
+
| No log | 5.4054 | 200 | 0.6261 | 0.5141 | 0.6261 | 0.7913 |
|
152 |
+
| No log | 5.4595 | 202 | 0.6832 | 0.4910 | 0.6832 | 0.8265 |
|
153 |
+
| No log | 5.5135 | 204 | 0.8371 | 0.4236 | 0.8371 | 0.9150 |
|
154 |
+
| No log | 5.5676 | 206 | 0.7294 | 0.4755 | 0.7294 | 0.8541 |
|
155 |
+
| No log | 5.6216 | 208 | 0.6525 | 0.5217 | 0.6525 | 0.8077 |
|
156 |
+
| No log | 5.6757 | 210 | 0.9098 | 0.4216 | 0.9098 | 0.9538 |
|
157 |
+
| No log | 5.7297 | 212 | 0.9191 | 0.4063 | 0.9191 | 0.9587 |
|
158 |
+
| No log | 5.7838 | 214 | 0.7025 | 0.4829 | 0.7025 | 0.8382 |
|
159 |
+
| No log | 5.8378 | 216 | 0.6378 | 0.5426 | 0.6378 | 0.7986 |
|
160 |
+
| No log | 5.8919 | 218 | 0.7994 | 0.5029 | 0.7994 | 0.8941 |
|
161 |
+
| No log | 5.9459 | 220 | 0.8025 | 0.4797 | 0.8025 | 0.8958 |
|
162 |
+
| No log | 6.0 | 222 | 0.6673 | 0.5927 | 0.6673 | 0.8169 |
|
163 |
+
| No log | 6.0541 | 224 | 0.6477 | 0.5240 | 0.6477 | 0.8048 |
|
164 |
+
| No log | 6.1081 | 226 | 0.7088 | 0.4863 | 0.7088 | 0.8419 |
|
165 |
+
| No log | 6.1622 | 228 | 0.6966 | 0.4829 | 0.6966 | 0.8346 |
|
166 |
+
| No log | 6.2162 | 230 | 0.6201 | 0.5495 | 0.6201 | 0.7874 |
|
167 |
+
| No log | 6.2703 | 232 | 0.5878 | 0.4440 | 0.5878 | 0.7667 |
|
168 |
+
| No log | 6.3243 | 234 | 0.6233 | 0.3838 | 0.6233 | 0.7895 |
|
169 |
+
| No log | 6.3784 | 236 | 0.5957 | 0.4268 | 0.5957 | 0.7718 |
|
170 |
+
| No log | 6.4324 | 238 | 0.5621 | 0.4774 | 0.5621 | 0.7497 |
|
171 |
+
| No log | 6.4865 | 240 | 0.5695 | 0.5105 | 0.5695 | 0.7546 |
|
172 |
+
| No log | 6.5405 | 242 | 0.5663 | 0.4869 | 0.5663 | 0.7525 |
|
173 |
+
| No log | 6.5946 | 244 | 0.6349 | 0.4823 | 0.6349 | 0.7968 |
|
174 |
+
| No log | 6.6486 | 246 | 0.6476 | 0.4919 | 0.6476 | 0.8047 |
|
175 |
+
| No log | 6.7027 | 248 | 0.6138 | 0.4882 | 0.6138 | 0.7835 |
|
176 |
+
| No log | 6.7568 | 250 | 0.6755 | 0.5278 | 0.6755 | 0.8219 |
|
177 |
+
| No log | 6.8108 | 252 | 0.8157 | 0.4287 | 0.8157 | 0.9032 |
|
178 |
+
| No log | 6.8649 | 254 | 0.7447 | 0.4412 | 0.7447 | 0.8630 |
|
179 |
+
| No log | 6.9189 | 256 | 0.6031 | 0.5444 | 0.6031 | 0.7766 |
|
180 |
+
| No log | 6.9730 | 258 | 0.5844 | 0.5451 | 0.5844 | 0.7645 |
|
181 |
+
| No log | 7.0270 | 260 | 0.5789 | 0.5156 | 0.5789 | 0.7609 |
|
182 |
+
| No log | 7.0811 | 262 | 0.5906 | 0.5053 | 0.5906 | 0.7685 |
|
183 |
+
| No log | 7.1351 | 264 | 0.5911 | 0.5053 | 0.5910 | 0.7688 |
|
184 |
+
| No log | 7.1892 | 266 | 0.5977 | 0.5231 | 0.5977 | 0.7731 |
|
185 |
+
| No log | 7.2432 | 268 | 0.5827 | 0.4513 | 0.5827 | 0.7634 |
|
186 |
+
| No log | 7.2973 | 270 | 0.5787 | 0.4767 | 0.5787 | 0.7607 |
|
187 |
+
| No log | 7.3514 | 272 | 0.5784 | 0.4977 | 0.5784 | 0.7605 |
|
188 |
+
| No log | 7.4054 | 274 | 0.5869 | 0.4716 | 0.5869 | 0.7661 |
|
189 |
+
| No log | 7.4595 | 276 | 0.6153 | 0.5110 | 0.6153 | 0.7844 |
|
190 |
+
| No log | 7.5135 | 278 | 0.6876 | 0.5263 | 0.6876 | 0.8292 |
|
191 |
+
| No log | 7.5676 | 280 | 0.6498 | 0.5507 | 0.6498 | 0.8061 |
|
192 |
+
| No log | 7.6216 | 282 | 0.6069 | 0.5053 | 0.6069 | 0.7790 |
|
193 |
+
| No log | 7.6757 | 284 | 0.6109 | 0.4141 | 0.6109 | 0.7816 |
|
194 |
+
| No log | 7.7297 | 286 | 0.6152 | 0.4061 | 0.6152 | 0.7843 |
|
195 |
+
| No log | 7.7838 | 288 | 0.5987 | 0.3725 | 0.5987 | 0.7738 |
|
196 |
+
| No log | 7.8378 | 290 | 0.5990 | 0.3759 | 0.5990 | 0.7740 |
|
197 |
+
| No log | 7.8919 | 292 | 0.5953 | 0.4723 | 0.5953 | 0.7715 |
|
198 |
+
| No log | 7.9459 | 294 | 0.6173 | 0.4371 | 0.6173 | 0.7857 |
|
199 |
+
| No log | 8.0 | 296 | 0.6637 | 0.4596 | 0.6637 | 0.8147 |
|
200 |
+
| No log | 8.0541 | 298 | 0.6355 | 0.4480 | 0.6355 | 0.7972 |
|
201 |
+
| No log | 8.1081 | 300 | 0.5957 | 0.4364 | 0.5957 | 0.7718 |
|
202 |
+
| No log | 8.1622 | 302 | 0.5894 | 0.4673 | 0.5894 | 0.7677 |
|
203 |
+
| No log | 8.2162 | 304 | 0.5927 | 0.4639 | 0.5927 | 0.7699 |
|
204 |
+
| No log | 8.2703 | 306 | 0.6154 | 0.4489 | 0.6154 | 0.7845 |
|
205 |
+
| No log | 8.3243 | 308 | 0.6209 | 0.4512 | 0.6209 | 0.7880 |
|
206 |
+
| No log | 8.3784 | 310 | 0.6132 | 0.4542 | 0.6132 | 0.7831 |
|
207 |
+
| No log | 8.4324 | 312 | 0.6245 | 0.5336 | 0.6245 | 0.7903 |
|
208 |
+
| No log | 8.4865 | 314 | 0.6168 | 0.5200 | 0.6168 | 0.7853 |
|
209 |
+
| No log | 8.5405 | 316 | 0.6288 | 0.4289 | 0.6288 | 0.7930 |
|
210 |
+
| No log | 8.5946 | 318 | 0.6107 | 0.4414 | 0.6107 | 0.7815 |
|
211 |
+
| No log | 8.6486 | 320 | 0.5902 | 0.4774 | 0.5902 | 0.7682 |
|
212 |
+
| No log | 8.7027 | 322 | 0.6493 | 0.5568 | 0.6493 | 0.8058 |
|
213 |
+
| No log | 8.7568 | 324 | 0.6937 | 0.4968 | 0.6937 | 0.8329 |
|
214 |
+
| No log | 8.8108 | 326 | 0.6361 | 0.5041 | 0.6361 | 0.7975 |
|
215 |
+
| No log | 8.8649 | 328 | 0.5872 | 0.5100 | 0.5872 | 0.7663 |
|
216 |
+
| No log | 8.9189 | 330 | 0.6706 | 0.4878 | 0.6706 | 0.8189 |
|
217 |
+
| No log | 8.9730 | 332 | 0.6786 | 0.5079 | 0.6786 | 0.8237 |
|
218 |
+
| No log | 9.0270 | 334 | 0.6119 | 0.5141 | 0.6119 | 0.7822 |
|
219 |
+
| No log | 9.0811 | 336 | 0.6388 | 0.5076 | 0.6388 | 0.7992 |
|
220 |
+
| No log | 9.1351 | 338 | 0.6606 | 0.5 | 0.6606 | 0.8128 |
|
221 |
+
| No log | 9.1892 | 340 | 0.6281 | 0.4659 | 0.6281 | 0.7925 |
|
222 |
+
| No log | 9.2432 | 342 | 0.6196 | 0.4669 | 0.6196 | 0.7871 |
|
223 |
+
| No log | 9.2973 | 344 | 0.6188 | 0.4936 | 0.6188 | 0.7866 |
|
224 |
+
| No log | 9.3514 | 346 | 0.6117 | 0.4950 | 0.6117 | 0.7821 |
|
225 |
+
| No log | 9.4054 | 348 | 0.6171 | 0.4924 | 0.6171 | 0.7856 |
|
226 |
+
| No log | 9.4595 | 350 | 0.6142 | 0.4896 | 0.6142 | 0.7837 |
|
227 |
+
| No log | 9.5135 | 352 | 0.6053 | 0.4835 | 0.6053 | 0.7780 |
|
228 |
+
| No log | 9.5676 | 354 | 0.6039 | 0.5295 | 0.6039 | 0.7771 |
|
229 |
+
| No log | 9.6216 | 356 | 0.5922 | 0.4785 | 0.5922 | 0.7695 |
|
230 |
+
| No log | 9.6757 | 358 | 0.5976 | 0.4430 | 0.5976 | 0.7731 |
|
231 |
+
| No log | 9.7297 | 360 | 0.6120 | 0.4390 | 0.6120 | 0.7823 |
|
232 |
+
| No log | 9.7838 | 362 | 0.5877 | 0.4552 | 0.5877 | 0.7666 |
|
233 |
+
| No log | 9.8378 | 364 | 0.5838 | 0.4665 | 0.5838 | 0.7640 |
|
234 |
+
| No log | 9.8919 | 366 | 0.6033 | 0.4985 | 0.6033 | 0.7767 |
|
235 |
+
| No log | 9.9459 | 368 | 0.5966 | 0.5019 | 0.5966 | 0.7724 |
|
236 |
+
| No log | 10.0 | 370 | 0.6032 | 0.4550 | 0.6032 | 0.7767 |
|
237 |
+
| No log | 10.0541 | 372 | 0.7065 | 0.4518 | 0.7065 | 0.8405 |
|
238 |
+
| No log | 10.1081 | 374 | 0.7836 | 0.5033 | 0.7836 | 0.8852 |
|
239 |
+
| No log | 10.1622 | 376 | 0.6899 | 0.4650 | 0.6899 | 0.8306 |
|
240 |
+
| No log | 10.2162 | 378 | 0.6357 | 0.4674 | 0.6357 | 0.7973 |
|
241 |
+
| No log | 10.2703 | 380 | 0.6779 | 0.5658 | 0.6779 | 0.8233 |
|
242 |
+
| No log | 10.3243 | 382 | 0.6534 | 0.5736 | 0.6534 | 0.8083 |
|
243 |
+
| No log | 10.3784 | 384 | 0.5933 | 0.5222 | 0.5933 | 0.7702 |
|
244 |
+
| No log | 10.4324 | 386 | 0.6062 | 0.4582 | 0.6062 | 0.7786 |
|
245 |
+
| No log | 10.4865 | 388 | 0.6393 | 0.4691 | 0.6393 | 0.7996 |
|
246 |
+
| No log | 10.5405 | 390 | 0.6443 | 0.4990 | 0.6443 | 0.8027 |
|
247 |
+
| No log | 10.5946 | 392 | 0.6207 | 0.5098 | 0.6207 | 0.7878 |
|
248 |
+
| No log | 10.6486 | 394 | 0.6100 | 0.5369 | 0.6100 | 0.7810 |
|
249 |
+
| No log | 10.7027 | 396 | 0.6097 | 0.5716 | 0.6097 | 0.7809 |
|
250 |
+
| No log | 10.7568 | 398 | 0.6055 | 0.5298 | 0.6055 | 0.7781 |
|
251 |
+
| No log | 10.8108 | 400 | 0.6339 | 0.5308 | 0.6339 | 0.7962 |
|
252 |
+
| No log | 10.8649 | 402 | 0.7376 | 0.4722 | 0.7376 | 0.8589 |
|
253 |
+
| No log | 10.9189 | 404 | 0.7265 | 0.4698 | 0.7265 | 0.8523 |
|
254 |
+
| No log | 10.9730 | 406 | 0.6595 | 0.4558 | 0.6595 | 0.8121 |
|
255 |
+
| No log | 11.0270 | 408 | 0.5843 | 0.5218 | 0.5843 | 0.7644 |
|
256 |
+
| No log | 11.0811 | 410 | 0.5704 | 0.5090 | 0.5704 | 0.7552 |
|
257 |
+
| No log | 11.1351 | 412 | 0.5635 | 0.5063 | 0.5635 | 0.7507 |
|
258 |
+
| No log | 11.1892 | 414 | 0.5576 | 0.4562 | 0.5576 | 0.7468 |
|
259 |
+
| No log | 11.2432 | 416 | 0.5783 | 0.4463 | 0.5783 | 0.7604 |
|
260 |
+
| No log | 11.2973 | 418 | 0.5925 | 0.4824 | 0.5925 | 0.7697 |
|
261 |
+
| No log | 11.3514 | 420 | 0.6073 | 0.4731 | 0.6073 | 0.7793 |
|
262 |
+
| No log | 11.4054 | 422 | 0.5714 | 0.4941 | 0.5714 | 0.7559 |
|
263 |
+
| No log | 11.4595 | 424 | 0.5700 | 0.5482 | 0.5700 | 0.7550 |
|
264 |
+
| No log | 11.5135 | 426 | 0.6281 | 0.5359 | 0.6281 | 0.7925 |
|
265 |
+
| No log | 11.5676 | 428 | 0.6242 | 0.5584 | 0.6242 | 0.7900 |
|
266 |
+
| No log | 11.6216 | 430 | 0.5899 | 0.5814 | 0.5899 | 0.7681 |
|
267 |
+
| No log | 11.6757 | 432 | 0.6246 | 0.4912 | 0.6246 | 0.7903 |
|
268 |
+
| No log | 11.7297 | 434 | 0.6964 | 0.5111 | 0.6964 | 0.8345 |
|
269 |
+
| No log | 11.7838 | 436 | 0.6620 | 0.4844 | 0.6620 | 0.8136 |
|
270 |
+
| No log | 11.8378 | 438 | 0.5886 | 0.5089 | 0.5886 | 0.7672 |
|
271 |
+
| No log | 11.8919 | 440 | 0.5788 | 0.5999 | 0.5788 | 0.7608 |
|
272 |
+
| No log | 11.9459 | 442 | 0.5944 | 0.5566 | 0.5944 | 0.7710 |
|
273 |
+
| No log | 12.0 | 444 | 0.5810 | 0.6075 | 0.5810 | 0.7623 |
|
274 |
+
| No log | 12.0541 | 446 | 0.5849 | 0.5378 | 0.5849 | 0.7648 |
|
275 |
+
| No log | 12.1081 | 448 | 0.6869 | 0.4607 | 0.6869 | 0.8288 |
|
276 |
+
| No log | 12.1622 | 450 | 0.7741 | 0.3974 | 0.7741 | 0.8799 |
|
277 |
+
| No log | 12.2162 | 452 | 0.7210 | 0.4384 | 0.7210 | 0.8491 |
|
278 |
+
| No log | 12.2703 | 454 | 0.6284 | 0.4792 | 0.6284 | 0.7927 |
|
279 |
+
| No log | 12.3243 | 456 | 0.5847 | 0.5433 | 0.5847 | 0.7647 |
|
280 |
+
| No log | 12.3784 | 458 | 0.6268 | 0.5117 | 0.6268 | 0.7917 |
|
281 |
+
| No log | 12.4324 | 460 | 0.6272 | 0.5205 | 0.6272 | 0.7920 |
|
282 |
+
| No log | 12.4865 | 462 | 0.5975 | 0.5450 | 0.5975 | 0.7730 |
|
283 |
+
| No log | 12.5405 | 464 | 0.6003 | 0.5957 | 0.6003 | 0.7748 |
|
284 |
+
| No log | 12.5946 | 466 | 0.6031 | 0.5720 | 0.6031 | 0.7766 |
|
285 |
+
| No log | 12.6486 | 468 | 0.5948 | 0.5466 | 0.5948 | 0.7712 |
|
286 |
+
| No log | 12.7027 | 470 | 0.6018 | 0.5489 | 0.6018 | 0.7757 |
|
287 |
+
| No log | 12.7568 | 472 | 0.5949 | 0.5361 | 0.5949 | 0.7713 |
|
288 |
+
| No log | 12.8108 | 474 | 0.5739 | 0.5147 | 0.5739 | 0.7576 |
|
289 |
+
| No log | 12.8649 | 476 | 0.5733 | 0.4814 | 0.5733 | 0.7572 |
|
290 |
+
| No log | 12.9189 | 478 | 0.6120 | 0.4993 | 0.6120 | 0.7823 |
|
291 |
+
| No log | 12.9730 | 480 | 0.6441 | 0.5202 | 0.6441 | 0.8025 |
|
292 |
+
| No log | 13.0270 | 482 | 0.5993 | 0.5046 | 0.5993 | 0.7742 |
|
293 |
+
| No log | 13.0811 | 484 | 0.5631 | 0.5209 | 0.5631 | 0.7504 |
|
294 |
+
| No log | 13.1351 | 486 | 0.5801 | 0.4863 | 0.5801 | 0.7616 |
|
295 |
+
| No log | 13.1892 | 488 | 0.5858 | 0.4895 | 0.5858 | 0.7654 |
|
296 |
+
| No log | 13.2432 | 490 | 0.5760 | 0.5335 | 0.5760 | 0.7590 |
|
297 |
+
| No log | 13.2973 | 492 | 0.6332 | 0.5332 | 0.6332 | 0.7957 |
|
298 |
+
| No log | 13.3514 | 494 | 0.6585 | 0.5316 | 0.6585 | 0.8115 |
|
299 |
+
| No log | 13.4054 | 496 | 0.6267 | 0.5472 | 0.6267 | 0.7916 |
|
300 |
+
| No log | 13.4595 | 498 | 0.6238 | 0.4937 | 0.6238 | 0.7898 |
|
301 |
+
| 0.3582 | 13.5135 | 500 | 0.6049 | 0.5289 | 0.6049 | 0.7777 |
|
302 |
+
| 0.3582 | 13.5676 | 502 | 0.5961 | 0.5471 | 0.5961 | 0.7721 |
|
303 |
+
| 0.3582 | 13.6216 | 504 | 0.6249 | 0.4993 | 0.6249 | 0.7905 |
|
304 |
+
| 0.3582 | 13.6757 | 506 | 0.6437 | 0.4895 | 0.6437 | 0.8023 |
|
305 |
+
| 0.3582 | 13.7297 | 508 | 0.6126 | 0.4871 | 0.6126 | 0.7827 |
|
306 |
+
| 0.3582 | 13.7838 | 510 | 0.5834 | 0.5396 | 0.5834 | 0.7638 |
|
307 |
+
| 0.3582 | 13.8378 | 512 | 0.5704 | 0.5648 | 0.5704 | 0.7552 |
|
308 |
+
| 0.3582 | 13.8919 | 514 | 0.5702 | 0.4910 | 0.5702 | 0.7551 |
|
309 |
+
| 0.3582 | 13.9459 | 516 | 0.5738 | 0.4932 | 0.5738 | 0.7575 |
|
310 |
+
| 0.3582 | 14.0 | 518 | 0.5810 | 0.5213 | 0.5810 | 0.7623 |
|
311 |
+
| 0.3582 | 14.0541 | 520 | 0.5812 | 0.5305 | 0.5812 | 0.7624 |
|
312 |
+
| 0.3582 | 14.1081 | 522 | 0.5877 | 0.4999 | 0.5877 | 0.7666 |
|
313 |
+
| 0.3582 | 14.1622 | 524 | 0.5892 | 0.5117 | 0.5892 | 0.7676 |
|
314 |
+
| 0.3582 | 14.2162 | 526 | 0.6000 | 0.4895 | 0.6000 | 0.7746 |
|
315 |
+
| 0.3582 | 14.2703 | 528 | 0.5968 | 0.5033 | 0.5968 | 0.7725 |
|
316 |
+
| 0.3582 | 14.3243 | 530 | 0.5726 | 0.5026 | 0.5726 | 0.7567 |
|
317 |
+
|
318 |
+
|
319 |
+
### Framework versions
|
320 |
+
|
321 |
+
- Transformers 4.44.2
|
322 |
+
- Pytorch 2.4.0+cu118
|
323 |
+
- Datasets 2.21.0
|
324 |
+
- 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 sha256:446c162b62ae9bebd02bf6844722150b941ec64c31097e7ac4e77e35538b251d
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:02de2b9028a71d81c3a9442065351755fccd03c5dcf3f4dc76ac05a1f348a405
|
3 |
+
size 5304
|