MayBashendy
commited on
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: ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k11_task7_organization
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+
results: []
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+
---
|
10 |
+
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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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+
# ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k11_task7_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: 0.4509
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+
- Qwk: 0.5840
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+
- Mse: 0.4509
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+
- Rmse: 0.6715
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+
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+
## Model description
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+
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+
More information needed
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+
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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
|
32 |
+
|
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+
More information needed
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+
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+
## Training procedure
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+
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+
### Training hyperparameters
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+
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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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+
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+
### Training results
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+
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+
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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51 |
+
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|:------:|
|
52 |
+
| No log | 0.0690 | 2 | 2.4713 | -0.0262 | 2.4713 | 1.5720 |
|
53 |
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| No log | 0.1379 | 4 | 1.3112 | 0.0998 | 1.3112 | 1.1451 |
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54 |
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| No log | 0.2069 | 6 | 0.8126 | 0.0535 | 0.8126 | 0.9014 |
|
55 |
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| No log | 0.2759 | 8 | 0.9384 | 0.0927 | 0.9384 | 0.9687 |
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56 |
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| No log | 0.3448 | 10 | 0.9361 | 0.2939 | 0.9361 | 0.9675 |
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| No log | 0.4138 | 12 | 0.9504 | 0.2601 | 0.9504 | 0.9749 |
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| No log | 0.4828 | 14 | 0.8084 | 0.2285 | 0.8084 | 0.8991 |
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59 |
+
| No log | 0.5517 | 16 | 0.7364 | -0.0027 | 0.7364 | 0.8582 |
|
60 |
+
| No log | 0.6207 | 18 | 0.7324 | 0.0898 | 0.7324 | 0.8558 |
|
61 |
+
| No log | 0.6897 | 20 | 0.7246 | 0.2494 | 0.7246 | 0.8513 |
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62 |
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| No log | 0.7586 | 22 | 0.6418 | 0.1277 | 0.6418 | 0.8011 |
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63 |
+
| No log | 0.8276 | 24 | 0.6349 | 0.1604 | 0.6349 | 0.7968 |
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| No log | 0.8966 | 26 | 0.6258 | 0.2002 | 0.6258 | 0.7911 |
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| No log | 0.9655 | 28 | 0.6073 | 0.2783 | 0.6073 | 0.7793 |
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| No log | 1.0345 | 30 | 0.6091 | 0.3426 | 0.6091 | 0.7804 |
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| No log | 1.1034 | 32 | 0.5988 | 0.3377 | 0.5988 | 0.7738 |
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68 |
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| No log | 1.1724 | 34 | 0.7307 | 0.2886 | 0.7307 | 0.8548 |
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| No log | 1.2414 | 36 | 0.8048 | 0.3094 | 0.8048 | 0.8971 |
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| No log | 1.3103 | 38 | 0.7674 | 0.2817 | 0.7674 | 0.8760 |
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71 |
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| No log | 1.3793 | 40 | 0.6644 | 0.3999 | 0.6644 | 0.8151 |
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72 |
+
| No log | 1.4483 | 42 | 0.5600 | 0.5361 | 0.5600 | 0.7483 |
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73 |
+
| No log | 1.5172 | 44 | 0.6354 | 0.1935 | 0.6354 | 0.7971 |
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74 |
+
| No log | 1.5862 | 46 | 0.8653 | 0.0717 | 0.8653 | 0.9302 |
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+
| No log | 1.6552 | 48 | 0.8344 | 0.1268 | 0.8344 | 0.9135 |
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76 |
+
| No log | 1.7241 | 50 | 0.6253 | 0.2995 | 0.6253 | 0.7907 |
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77 |
+
| No log | 1.7931 | 52 | 0.5520 | 0.4938 | 0.5520 | 0.7429 |
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78 |
+
| No log | 1.8621 | 54 | 0.6968 | 0.4280 | 0.6968 | 0.8348 |
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+
| No log | 1.9310 | 56 | 0.9318 | 0.2009 | 0.9318 | 0.9653 |
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80 |
+
| No log | 2.0 | 58 | 0.7647 | 0.3484 | 0.7647 | 0.8745 |
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81 |
+
| No log | 2.0690 | 60 | 0.5696 | 0.4229 | 0.5696 | 0.7547 |
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82 |
+
| No log | 2.1379 | 62 | 0.7541 | 0.3606 | 0.7541 | 0.8684 |
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| No log | 2.2069 | 64 | 0.7939 | 0.3473 | 0.7939 | 0.8910 |
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+
| No log | 2.2759 | 66 | 0.6665 | 0.2027 | 0.6665 | 0.8164 |
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+
| No log | 2.3448 | 68 | 0.6484 | 0.2892 | 0.6484 | 0.8052 |
|
86 |
+
| No log | 2.4138 | 70 | 0.6588 | 0.2892 | 0.6588 | 0.8116 |
|
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+
| No log | 2.4828 | 72 | 0.6602 | 0.2374 | 0.6602 | 0.8125 |
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+
| No log | 2.5517 | 74 | 0.6708 | 0.2506 | 0.6708 | 0.8190 |
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89 |
+
| No log | 2.6207 | 76 | 0.7577 | 0.2692 | 0.7577 | 0.8704 |
|
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+
| No log | 2.6897 | 78 | 0.8452 | 0.3042 | 0.8452 | 0.9194 |
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+
| No log | 2.7586 | 80 | 0.7794 | 0.3302 | 0.7794 | 0.8828 |
|
92 |
+
| No log | 2.8276 | 82 | 0.7342 | 0.2995 | 0.7342 | 0.8568 |
|
93 |
+
| No log | 2.8966 | 84 | 0.6643 | 0.3947 | 0.6643 | 0.8151 |
|
94 |
+
| No log | 2.9655 | 86 | 0.6658 | 0.4448 | 0.6658 | 0.8160 |
|
95 |
+
| No log | 3.0345 | 88 | 0.6493 | 0.4019 | 0.6493 | 0.8058 |
|
96 |
+
| No log | 3.1034 | 90 | 0.7082 | 0.4134 | 0.7082 | 0.8416 |
|
97 |
+
| No log | 3.1724 | 92 | 0.6083 | 0.5345 | 0.6083 | 0.7799 |
|
98 |
+
| No log | 3.2414 | 94 | 0.5783 | 0.4898 | 0.5783 | 0.7605 |
|
99 |
+
| No log | 3.3103 | 96 | 0.6343 | 0.4698 | 0.6343 | 0.7964 |
|
100 |
+
| No log | 3.3793 | 98 | 0.5718 | 0.4494 | 0.5718 | 0.7562 |
|
101 |
+
| No log | 3.4483 | 100 | 0.6080 | 0.4905 | 0.6080 | 0.7797 |
|
102 |
+
| No log | 3.5172 | 102 | 0.7659 | 0.4462 | 0.7659 | 0.8751 |
|
103 |
+
| No log | 3.5862 | 104 | 0.7333 | 0.4462 | 0.7333 | 0.8564 |
|
104 |
+
| No log | 3.6552 | 106 | 0.5705 | 0.5067 | 0.5705 | 0.7553 |
|
105 |
+
| No log | 3.7241 | 108 | 0.5439 | 0.4918 | 0.5439 | 0.7375 |
|
106 |
+
| No log | 3.7931 | 110 | 0.6864 | 0.5146 | 0.6864 | 0.8285 |
|
107 |
+
| No log | 3.8621 | 112 | 0.7508 | 0.4784 | 0.7508 | 0.8665 |
|
108 |
+
| No log | 3.9310 | 114 | 0.6642 | 0.5704 | 0.6642 | 0.8150 |
|
109 |
+
| No log | 4.0 | 116 | 0.6147 | 0.5285 | 0.6147 | 0.7840 |
|
110 |
+
| No log | 4.0690 | 118 | 0.5934 | 0.5397 | 0.5934 | 0.7703 |
|
111 |
+
| No log | 4.1379 | 120 | 0.5864 | 0.5646 | 0.5864 | 0.7658 |
|
112 |
+
| No log | 4.2069 | 122 | 0.5621 | 0.4696 | 0.5621 | 0.7497 |
|
113 |
+
| No log | 4.2759 | 124 | 0.5438 | 0.5617 | 0.5438 | 0.7375 |
|
114 |
+
| No log | 4.3448 | 126 | 0.5358 | 0.5184 | 0.5358 | 0.7320 |
|
115 |
+
| No log | 4.4138 | 128 | 0.5188 | 0.4478 | 0.5188 | 0.7203 |
|
116 |
+
| No log | 4.4828 | 130 | 0.5471 | 0.5587 | 0.5471 | 0.7397 |
|
117 |
+
| No log | 4.5517 | 132 | 0.5155 | 0.4762 | 0.5155 | 0.7180 |
|
118 |
+
| No log | 4.6207 | 134 | 0.5186 | 0.4828 | 0.5186 | 0.7201 |
|
119 |
+
| No log | 4.6897 | 136 | 0.5290 | 0.4828 | 0.5290 | 0.7273 |
|
120 |
+
| No log | 4.7586 | 138 | 0.5445 | 0.5157 | 0.5445 | 0.7379 |
|
121 |
+
| No log | 4.8276 | 140 | 0.5838 | 0.5195 | 0.5838 | 0.7641 |
|
122 |
+
| No log | 4.8966 | 142 | 0.5495 | 0.5157 | 0.5495 | 0.7413 |
|
123 |
+
| No log | 4.9655 | 144 | 0.5287 | 0.5184 | 0.5287 | 0.7271 |
|
124 |
+
| No log | 5.0345 | 146 | 0.5225 | 0.5413 | 0.5225 | 0.7229 |
|
125 |
+
| No log | 5.1034 | 148 | 0.5280 | 0.4596 | 0.5280 | 0.7267 |
|
126 |
+
| No log | 5.1724 | 150 | 0.5247 | 0.5798 | 0.5247 | 0.7244 |
|
127 |
+
| No log | 5.2414 | 152 | 0.5274 | 0.5714 | 0.5274 | 0.7263 |
|
128 |
+
| No log | 5.3103 | 154 | 0.5339 | 0.5475 | 0.5339 | 0.7307 |
|
129 |
+
| No log | 5.3793 | 156 | 0.5509 | 0.4147 | 0.5509 | 0.7423 |
|
130 |
+
| No log | 5.4483 | 158 | 0.6433 | 0.4243 | 0.6433 | 0.8020 |
|
131 |
+
| No log | 5.5172 | 160 | 0.6569 | 0.4243 | 0.6569 | 0.8105 |
|
132 |
+
| No log | 5.5862 | 162 | 0.5680 | 0.4379 | 0.5680 | 0.7537 |
|
133 |
+
| No log | 5.6552 | 164 | 0.5734 | 0.5286 | 0.5734 | 0.7572 |
|
134 |
+
| No log | 5.7241 | 166 | 0.5865 | 0.5697 | 0.5865 | 0.7659 |
|
135 |
+
| No log | 5.7931 | 168 | 0.6037 | 0.5190 | 0.6037 | 0.7770 |
|
136 |
+
| No log | 5.8621 | 170 | 0.6297 | 0.5220 | 0.6297 | 0.7935 |
|
137 |
+
| No log | 5.9310 | 172 | 0.6042 | 0.5220 | 0.6042 | 0.7773 |
|
138 |
+
| No log | 6.0 | 174 | 0.5347 | 0.5596 | 0.5347 | 0.7312 |
|
139 |
+
| No log | 6.0690 | 176 | 0.5285 | 0.5413 | 0.5285 | 0.7270 |
|
140 |
+
| No log | 6.1379 | 178 | 0.5218 | 0.5672 | 0.5218 | 0.7223 |
|
141 |
+
| No log | 6.2069 | 180 | 0.5374 | 0.5205 | 0.5374 | 0.7331 |
|
142 |
+
| No log | 6.2759 | 182 | 0.5950 | 0.5244 | 0.5950 | 0.7713 |
|
143 |
+
| No log | 6.3448 | 184 | 0.5973 | 0.5273 | 0.5973 | 0.7729 |
|
144 |
+
| No log | 6.4138 | 186 | 0.6052 | 0.5483 | 0.6052 | 0.7779 |
|
145 |
+
| No log | 6.4828 | 188 | 0.5962 | 0.5855 | 0.5962 | 0.7722 |
|
146 |
+
| No log | 6.5517 | 190 | 0.5579 | 0.5143 | 0.5579 | 0.7469 |
|
147 |
+
| No log | 6.6207 | 192 | 0.7073 | 0.3973 | 0.7073 | 0.8410 |
|
148 |
+
| No log | 6.6897 | 194 | 1.0740 | 0.3455 | 1.0740 | 1.0363 |
|
149 |
+
| No log | 6.7586 | 196 | 1.1042 | 0.2601 | 1.1042 | 1.0508 |
|
150 |
+
| No log | 6.8276 | 198 | 0.8808 | 0.3269 | 0.8808 | 0.9385 |
|
151 |
+
| No log | 6.8966 | 200 | 0.6467 | 0.3399 | 0.6467 | 0.8042 |
|
152 |
+
| No log | 6.9655 | 202 | 0.5957 | 0.4345 | 0.5957 | 0.7718 |
|
153 |
+
| No log | 7.0345 | 204 | 0.6242 | 0.4821 | 0.6242 | 0.7901 |
|
154 |
+
| No log | 7.1034 | 206 | 0.5822 | 0.4590 | 0.5822 | 0.7630 |
|
155 |
+
| No log | 7.1724 | 208 | 0.6002 | 0.3665 | 0.6002 | 0.7747 |
|
156 |
+
| No log | 7.2414 | 210 | 0.6332 | 0.3936 | 0.6332 | 0.7958 |
|
157 |
+
| No log | 7.3103 | 212 | 0.6462 | 0.4836 | 0.6462 | 0.8039 |
|
158 |
+
| No log | 7.3793 | 214 | 0.5909 | 0.3936 | 0.5909 | 0.7687 |
|
159 |
+
| No log | 7.4483 | 216 | 0.5351 | 0.4591 | 0.5351 | 0.7315 |
|
160 |
+
| No log | 7.5172 | 218 | 0.5461 | 0.4821 | 0.5461 | 0.7390 |
|
161 |
+
| No log | 7.5862 | 220 | 0.5641 | 0.5065 | 0.5641 | 0.7510 |
|
162 |
+
| No log | 7.6552 | 222 | 0.5200 | 0.5571 | 0.5200 | 0.7211 |
|
163 |
+
| No log | 7.7241 | 224 | 0.5077 | 0.5596 | 0.5077 | 0.7125 |
|
164 |
+
| No log | 7.7931 | 226 | 0.5054 | 0.5953 | 0.5054 | 0.7109 |
|
165 |
+
| No log | 7.8621 | 228 | 0.5169 | 0.5796 | 0.5169 | 0.7190 |
|
166 |
+
| No log | 7.9310 | 230 | 0.5128 | 0.5796 | 0.5128 | 0.7161 |
|
167 |
+
| No log | 8.0 | 232 | 0.4932 | 0.5796 | 0.4932 | 0.7023 |
|
168 |
+
| No log | 8.0690 | 234 | 0.4858 | 0.5985 | 0.4858 | 0.6970 |
|
169 |
+
| No log | 8.1379 | 236 | 0.4888 | 0.5826 | 0.4888 | 0.6991 |
|
170 |
+
| No log | 8.2069 | 238 | 0.4989 | 0.6465 | 0.4989 | 0.7063 |
|
171 |
+
| No log | 8.2759 | 240 | 0.5164 | 0.6361 | 0.5164 | 0.7186 |
|
172 |
+
| No log | 8.3448 | 242 | 0.5089 | 0.6130 | 0.5089 | 0.7134 |
|
173 |
+
| No log | 8.4138 | 244 | 0.4949 | 0.6020 | 0.4949 | 0.7035 |
|
174 |
+
| No log | 8.4828 | 246 | 0.4993 | 0.5283 | 0.4993 | 0.7066 |
|
175 |
+
| No log | 8.5517 | 248 | 0.4868 | 0.5356 | 0.4868 | 0.6977 |
|
176 |
+
| No log | 8.6207 | 250 | 0.4807 | 0.5556 | 0.4807 | 0.6933 |
|
177 |
+
| No log | 8.6897 | 252 | 0.4887 | 0.5986 | 0.4887 | 0.6991 |
|
178 |
+
| No log | 8.7586 | 254 | 0.5041 | 0.5819 | 0.5041 | 0.7100 |
|
179 |
+
| No log | 8.8276 | 256 | 0.4887 | 0.5550 | 0.4887 | 0.6991 |
|
180 |
+
| No log | 8.8966 | 258 | 0.4855 | 0.5714 | 0.4855 | 0.6968 |
|
181 |
+
| No log | 8.9655 | 260 | 0.4876 | 0.5265 | 0.4876 | 0.6983 |
|
182 |
+
| No log | 9.0345 | 262 | 0.4951 | 0.5432 | 0.4951 | 0.7037 |
|
183 |
+
| No log | 9.1034 | 264 | 0.4906 | 0.5672 | 0.4906 | 0.7004 |
|
184 |
+
| No log | 9.1724 | 266 | 0.5003 | 0.6142 | 0.5003 | 0.7073 |
|
185 |
+
| No log | 9.2414 | 268 | 0.5218 | 0.5708 | 0.5218 | 0.7223 |
|
186 |
+
| No log | 9.3103 | 270 | 0.5462 | 0.5166 | 0.5462 | 0.7390 |
|
187 |
+
| No log | 9.3793 | 272 | 0.5210 | 0.5034 | 0.5210 | 0.7218 |
|
188 |
+
| No log | 9.4483 | 274 | 0.5220 | 0.5104 | 0.5220 | 0.7225 |
|
189 |
+
| No log | 9.5172 | 276 | 0.5066 | 0.5123 | 0.5066 | 0.7118 |
|
190 |
+
| No log | 9.5862 | 278 | 0.4823 | 0.6648 | 0.4823 | 0.6945 |
|
191 |
+
| No log | 9.6552 | 280 | 0.4846 | 0.6068 | 0.4846 | 0.6961 |
|
192 |
+
| No log | 9.7241 | 282 | 0.4823 | 0.5861 | 0.4823 | 0.6945 |
|
193 |
+
| No log | 9.7931 | 284 | 0.4958 | 0.5796 | 0.4958 | 0.7042 |
|
194 |
+
| No log | 9.8621 | 286 | 0.5088 | 0.5512 | 0.5088 | 0.7133 |
|
195 |
+
| No log | 9.9310 | 288 | 0.5458 | 0.5161 | 0.5458 | 0.7388 |
|
196 |
+
| No log | 10.0 | 290 | 0.5141 | 0.5438 | 0.5141 | 0.7170 |
|
197 |
+
| No log | 10.0690 | 292 | 0.5042 | 0.5587 | 0.5042 | 0.7101 |
|
198 |
+
| No log | 10.1379 | 294 | 0.5065 | 0.5587 | 0.5065 | 0.7117 |
|
199 |
+
| No log | 10.2069 | 296 | 0.4964 | 0.5510 | 0.4964 | 0.7046 |
|
200 |
+
| No log | 10.2759 | 298 | 0.4900 | 0.5731 | 0.4900 | 0.7000 |
|
201 |
+
| No log | 10.3448 | 300 | 0.4822 | 0.5324 | 0.4822 | 0.6944 |
|
202 |
+
| No log | 10.4138 | 302 | 0.4786 | 0.5574 | 0.4786 | 0.6918 |
|
203 |
+
| No log | 10.4828 | 304 | 0.4759 | 0.5798 | 0.4759 | 0.6898 |
|
204 |
+
| No log | 10.5517 | 306 | 0.4828 | 0.5874 | 0.4828 | 0.6949 |
|
205 |
+
| No log | 10.6207 | 308 | 0.4704 | 0.5930 | 0.4704 | 0.6858 |
|
206 |
+
| No log | 10.6897 | 310 | 0.4689 | 0.6068 | 0.4689 | 0.6848 |
|
207 |
+
| No log | 10.7586 | 312 | 0.4673 | 0.5517 | 0.4673 | 0.6836 |
|
208 |
+
| No log | 10.8276 | 314 | 0.4878 | 0.5195 | 0.4878 | 0.6984 |
|
209 |
+
| No log | 10.8966 | 316 | 0.4869 | 0.4684 | 0.4869 | 0.6978 |
|
210 |
+
| No log | 10.9655 | 318 | 0.4836 | 0.5104 | 0.4836 | 0.6954 |
|
211 |
+
| No log | 11.0345 | 320 | 0.4508 | 0.5738 | 0.4508 | 0.6714 |
|
212 |
+
| No log | 11.1034 | 322 | 0.4464 | 0.6184 | 0.4464 | 0.6681 |
|
213 |
+
| No log | 11.1724 | 324 | 0.4821 | 0.6248 | 0.4821 | 0.6943 |
|
214 |
+
| No log | 11.2414 | 326 | 0.4681 | 0.6235 | 0.4681 | 0.6842 |
|
215 |
+
| No log | 11.3103 | 328 | 0.4407 | 0.6046 | 0.4407 | 0.6638 |
|
216 |
+
| No log | 11.3793 | 330 | 0.5660 | 0.4892 | 0.5660 | 0.7524 |
|
217 |
+
| No log | 11.4483 | 332 | 0.6588 | 0.4925 | 0.6588 | 0.8116 |
|
218 |
+
| No log | 11.5172 | 334 | 0.5982 | 0.4707 | 0.5982 | 0.7735 |
|
219 |
+
| No log | 11.5862 | 336 | 0.4797 | 0.6060 | 0.4797 | 0.6926 |
|
220 |
+
| No log | 11.6552 | 338 | 0.4562 | 0.6462 | 0.4562 | 0.6754 |
|
221 |
+
| No log | 11.7241 | 340 | 0.5094 | 0.5368 | 0.5094 | 0.7137 |
|
222 |
+
| No log | 11.7931 | 342 | 0.4989 | 0.6047 | 0.4989 | 0.7063 |
|
223 |
+
| No log | 11.8621 | 344 | 0.4456 | 0.6579 | 0.4456 | 0.6675 |
|
224 |
+
| No log | 11.9310 | 346 | 0.4363 | 0.5912 | 0.4363 | 0.6606 |
|
225 |
+
| No log | 12.0 | 348 | 0.4382 | 0.5912 | 0.4382 | 0.6619 |
|
226 |
+
| No log | 12.0690 | 350 | 0.4329 | 0.6060 | 0.4329 | 0.6579 |
|
227 |
+
| No log | 12.1379 | 352 | 0.4473 | 0.6068 | 0.4473 | 0.6688 |
|
228 |
+
| No log | 12.2069 | 354 | 0.4470 | 0.6068 | 0.4470 | 0.6685 |
|
229 |
+
| No log | 12.2759 | 356 | 0.4463 | 0.5455 | 0.4463 | 0.6680 |
|
230 |
+
| No log | 12.3448 | 358 | 0.4937 | 0.5481 | 0.4937 | 0.7027 |
|
231 |
+
| No log | 12.4138 | 360 | 0.5888 | 0.5292 | 0.5888 | 0.7673 |
|
232 |
+
| No log | 12.4828 | 362 | 0.6437 | 0.4808 | 0.6437 | 0.8023 |
|
233 |
+
| No log | 12.5517 | 364 | 0.5760 | 0.5292 | 0.5760 | 0.7590 |
|
234 |
+
| No log | 12.6207 | 366 | 0.4886 | 0.5177 | 0.4886 | 0.6990 |
|
235 |
+
| No log | 12.6897 | 368 | 0.4686 | 0.4375 | 0.4686 | 0.6846 |
|
236 |
+
| No log | 12.7586 | 370 | 0.4685 | 0.4441 | 0.4685 | 0.6844 |
|
237 |
+
| No log | 12.8276 | 372 | 0.4747 | 0.4375 | 0.4747 | 0.6890 |
|
238 |
+
| No log | 12.8966 | 374 | 0.5241 | 0.5233 | 0.5241 | 0.7239 |
|
239 |
+
| No log | 12.9655 | 376 | 0.6221 | 0.4728 | 0.6221 | 0.7887 |
|
240 |
+
| No log | 13.0345 | 378 | 0.6447 | 0.5072 | 0.6447 | 0.8029 |
|
241 |
+
| No log | 13.1034 | 380 | 0.5659 | 0.4815 | 0.5659 | 0.7523 |
|
242 |
+
| No log | 13.1724 | 382 | 0.4750 | 0.5177 | 0.4750 | 0.6892 |
|
243 |
+
| No log | 13.2414 | 384 | 0.4575 | 0.5567 | 0.4575 | 0.6764 |
|
244 |
+
| No log | 13.3103 | 386 | 0.4554 | 0.5567 | 0.4554 | 0.6748 |
|
245 |
+
| No log | 13.3793 | 388 | 0.4585 | 0.6101 | 0.4585 | 0.6771 |
|
246 |
+
| No log | 13.4483 | 390 | 0.4728 | 0.6101 | 0.4728 | 0.6876 |
|
247 |
+
| No log | 13.5172 | 392 | 0.4706 | 0.6101 | 0.4706 | 0.6860 |
|
248 |
+
| No log | 13.5862 | 394 | 0.4470 | 0.6313 | 0.4470 | 0.6686 |
|
249 |
+
| No log | 13.6552 | 396 | 0.4468 | 0.6477 | 0.4468 | 0.6684 |
|
250 |
+
| No log | 13.7241 | 398 | 0.5096 | 0.6061 | 0.5096 | 0.7139 |
|
251 |
+
| No log | 13.7931 | 400 | 0.5128 | 0.5855 | 0.5128 | 0.7161 |
|
252 |
+
| No log | 13.8621 | 402 | 0.4682 | 0.6556 | 0.4682 | 0.6843 |
|
253 |
+
| No log | 13.9310 | 404 | 0.4491 | 0.6106 | 0.4491 | 0.6702 |
|
254 |
+
| No log | 14.0 | 406 | 0.4531 | 0.6200 | 0.4531 | 0.6732 |
|
255 |
+
| No log | 14.0690 | 408 | 0.4537 | 0.6200 | 0.4537 | 0.6736 |
|
256 |
+
| No log | 14.1379 | 410 | 0.4466 | 0.5960 | 0.4466 | 0.6683 |
|
257 |
+
| No log | 14.2069 | 412 | 0.4472 | 0.6106 | 0.4472 | 0.6687 |
|
258 |
+
| No log | 14.2759 | 414 | 0.4481 | 0.6321 | 0.4481 | 0.6694 |
|
259 |
+
| No log | 14.3448 | 416 | 0.4573 | 0.5930 | 0.4573 | 0.6762 |
|
260 |
+
| No log | 14.4138 | 418 | 0.4618 | 0.5672 | 0.4618 | 0.6795 |
|
261 |
+
| No log | 14.4828 | 420 | 0.4558 | 0.5252 | 0.4558 | 0.6751 |
|
262 |
+
| No log | 14.5517 | 422 | 0.4553 | 0.5593 | 0.4553 | 0.6748 |
|
263 |
+
| No log | 14.6207 | 424 | 0.4481 | 0.6334 | 0.4481 | 0.6694 |
|
264 |
+
| No log | 14.6897 | 426 | 0.4497 | 0.6068 | 0.4497 | 0.6706 |
|
265 |
+
| No log | 14.7586 | 428 | 0.4540 | 0.6317 | 0.4540 | 0.6738 |
|
266 |
+
| No log | 14.8276 | 430 | 0.4339 | 0.6243 | 0.4339 | 0.6587 |
|
267 |
+
| No log | 14.8966 | 432 | 0.4278 | 0.6641 | 0.4278 | 0.6541 |
|
268 |
+
| No log | 14.9655 | 434 | 0.4372 | 0.5386 | 0.4372 | 0.6612 |
|
269 |
+
| No log | 15.0345 | 436 | 0.4379 | 0.5587 | 0.4379 | 0.6617 |
|
270 |
+
| No log | 15.1034 | 438 | 0.4349 | 0.5836 | 0.4349 | 0.6595 |
|
271 |
+
| No log | 15.1724 | 440 | 0.4278 | 0.6661 | 0.4278 | 0.6541 |
|
272 |
+
| No log | 15.2414 | 442 | 0.4186 | 0.6279 | 0.4186 | 0.6470 |
|
273 |
+
| No log | 15.3103 | 444 | 0.4186 | 0.6279 | 0.4186 | 0.6470 |
|
274 |
+
| No log | 15.3793 | 446 | 0.4180 | 0.6383 | 0.4180 | 0.6465 |
|
275 |
+
| No log | 15.4483 | 448 | 0.4284 | 0.6683 | 0.4284 | 0.6545 |
|
276 |
+
| No log | 15.5172 | 450 | 0.4710 | 0.6169 | 0.4710 | 0.6863 |
|
277 |
+
| No log | 15.5862 | 452 | 0.4719 | 0.6169 | 0.4719 | 0.6869 |
|
278 |
+
| No log | 15.6552 | 454 | 0.4526 | 0.6705 | 0.4526 | 0.6727 |
|
279 |
+
| No log | 15.7241 | 456 | 0.4213 | 0.6771 | 0.4213 | 0.6490 |
|
280 |
+
| No log | 15.7931 | 458 | 0.4120 | 0.6852 | 0.4120 | 0.6418 |
|
281 |
+
| No log | 15.8621 | 460 | 0.4127 | 0.6946 | 0.4127 | 0.6424 |
|
282 |
+
| No log | 15.9310 | 462 | 0.4272 | 0.6873 | 0.4272 | 0.6536 |
|
283 |
+
| No log | 16.0 | 464 | 0.4304 | 0.6873 | 0.4304 | 0.6560 |
|
284 |
+
| No log | 16.0690 | 466 | 0.4323 | 0.6873 | 0.4323 | 0.6575 |
|
285 |
+
| No log | 16.1379 | 468 | 0.4168 | 0.6771 | 0.4168 | 0.6456 |
|
286 |
+
| No log | 16.2069 | 470 | 0.4094 | 0.6563 | 0.4094 | 0.6398 |
|
287 |
+
| No log | 16.2759 | 472 | 0.4140 | 0.6641 | 0.4140 | 0.6434 |
|
288 |
+
| No log | 16.3448 | 474 | 0.4098 | 0.6553 | 0.4098 | 0.6401 |
|
289 |
+
| No log | 16.4138 | 476 | 0.4080 | 0.6741 | 0.4080 | 0.6388 |
|
290 |
+
| No log | 16.4828 | 478 | 0.4088 | 0.6553 | 0.4088 | 0.6394 |
|
291 |
+
| No log | 16.5517 | 480 | 0.4128 | 0.6443 | 0.4128 | 0.6425 |
|
292 |
+
| No log | 16.6207 | 482 | 0.4167 | 0.6326 | 0.4167 | 0.6455 |
|
293 |
+
| No log | 16.6897 | 484 | 0.4182 | 0.6267 | 0.4182 | 0.6467 |
|
294 |
+
| No log | 16.7586 | 486 | 0.4214 | 0.6279 | 0.4214 | 0.6492 |
|
295 |
+
| No log | 16.8276 | 488 | 0.4253 | 0.6129 | 0.4253 | 0.6521 |
|
296 |
+
| No log | 16.8966 | 490 | 0.4392 | 0.6506 | 0.4392 | 0.6627 |
|
297 |
+
| No log | 16.9655 | 492 | 0.4418 | 0.5980 | 0.4418 | 0.6647 |
|
298 |
+
| No log | 17.0345 | 494 | 0.4250 | 0.5926 | 0.4250 | 0.6519 |
|
299 |
+
| No log | 17.1034 | 496 | 0.4276 | 0.6395 | 0.4276 | 0.6539 |
|
300 |
+
| No log | 17.1724 | 498 | 0.4424 | 0.5929 | 0.4424 | 0.6651 |
|
301 |
+
| 0.3437 | 17.2414 | 500 | 0.4542 | 0.6130 | 0.4542 | 0.6739 |
|
302 |
+
| 0.3437 | 17.3103 | 502 | 0.4464 | 0.6105 | 0.4464 | 0.6682 |
|
303 |
+
| 0.3437 | 17.3793 | 504 | 0.4468 | 0.6727 | 0.4468 | 0.6684 |
|
304 |
+
| 0.3437 | 17.4483 | 506 | 0.4523 | 0.5707 | 0.4523 | 0.6725 |
|
305 |
+
| 0.3437 | 17.5172 | 508 | 0.4554 | 0.6040 | 0.4554 | 0.6749 |
|
306 |
+
| 0.3437 | 17.5862 | 510 | 0.4568 | 0.6040 | 0.4568 | 0.6759 |
|
307 |
+
| 0.3437 | 17.6552 | 512 | 0.4597 | 0.6130 | 0.4597 | 0.6780 |
|
308 |
+
| 0.3437 | 17.7241 | 514 | 0.4509 | 0.5840 | 0.4509 | 0.6715 |
|
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 sha256:124f3ca6a6d0bebbd20742fa174401792e3edcd7faa12cca1ba2b020e9668e86
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dd567bec6b4b1372bf98f8c2ec55e92554eb9b47d01f6f28a4e9d4d80cc443cf
|
3 |
+
size 5240
|