Training in progress, step 500
Browse files- README.md +315 -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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_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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+
# ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_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: 1.1049
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- Qwk: 0.5882
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- Mse: 1.1049
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- Rmse: 1.0511
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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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## 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 | 0.0526 | 2 | 6.9746 | 0.0167 | 6.9746 | 2.6409 |
|
53 |
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| No log | 0.1053 | 4 | 4.0421 | 0.0800 | 4.0421 | 2.0105 |
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54 |
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| No log | 0.1579 | 6 | 2.6353 | 0.0633 | 2.6353 | 1.6234 |
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55 |
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| No log | 0.2105 | 8 | 1.8905 | 0.1789 | 1.8905 | 1.3750 |
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| No log | 0.2632 | 10 | 1.6413 | 0.2342 | 1.6413 | 1.2811 |
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| No log | 0.3158 | 12 | 1.5711 | 0.1835 | 1.5711 | 1.2534 |
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| No log | 0.3684 | 14 | 1.4404 | 0.3898 | 1.4404 | 1.2002 |
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| No log | 0.4211 | 16 | 1.3865 | 0.4138 | 1.3865 | 1.1775 |
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| No log | 0.4737 | 18 | 1.3875 | 0.2778 | 1.3875 | 1.1779 |
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61 |
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| No log | 0.5263 | 20 | 1.6900 | 0.2542 | 1.6900 | 1.3000 |
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| No log | 0.5789 | 22 | 1.6897 | 0.2975 | 1.6897 | 1.2999 |
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| No log | 0.6316 | 24 | 1.6222 | 0.3390 | 1.6222 | 1.2737 |
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| No log | 0.6842 | 26 | 1.5033 | 0.3333 | 1.5033 | 1.2261 |
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| No log | 0.7368 | 28 | 1.3790 | 0.2243 | 1.3790 | 1.1743 |
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| No log | 0.7895 | 30 | 1.3298 | 0.3784 | 1.3298 | 1.1532 |
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67 |
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| No log | 0.8421 | 32 | 1.2840 | 0.4348 | 1.2840 | 1.1331 |
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| No log | 0.8947 | 34 | 1.3097 | 0.3571 | 1.3097 | 1.1444 |
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| No log | 0.9474 | 36 | 1.5740 | 0.2301 | 1.5740 | 1.2546 |
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| No log | 1.0 | 38 | 1.7084 | 0.2241 | 1.7084 | 1.3071 |
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| No log | 1.0526 | 40 | 1.4326 | 0.3193 | 1.4326 | 1.1969 |
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72 |
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| No log | 1.1053 | 42 | 1.1975 | 0.4576 | 1.1975 | 1.0943 |
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| No log | 1.1579 | 44 | 1.0707 | 0.4833 | 1.0707 | 1.0347 |
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| No log | 1.2105 | 46 | 1.0167 | 0.5354 | 1.0167 | 1.0083 |
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| No log | 1.2632 | 48 | 1.0475 | 0.608 | 1.0475 | 1.0235 |
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76 |
+
| No log | 1.3158 | 50 | 1.2131 | 0.5312 | 1.2131 | 1.1014 |
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| No log | 1.3684 | 52 | 1.1775 | 0.5692 | 1.1775 | 1.0851 |
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| No log | 1.4211 | 54 | 1.2171 | 0.5077 | 1.2171 | 1.1032 |
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| No log | 1.4737 | 56 | 1.3180 | 0.4328 | 1.3180 | 1.1480 |
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+
| No log | 1.5263 | 58 | 1.4516 | 0.3731 | 1.4516 | 1.2048 |
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| No log | 1.5789 | 60 | 1.5976 | 0.3582 | 1.5976 | 1.2640 |
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82 |
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| No log | 1.6316 | 62 | 1.6532 | 0.4138 | 1.6532 | 1.2858 |
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| No log | 1.6842 | 64 | 1.4937 | 0.3636 | 1.4937 | 1.2222 |
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| No log | 1.7368 | 66 | 1.4875 | 0.4203 | 1.4875 | 1.2196 |
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| No log | 1.7895 | 68 | 1.5525 | 0.4416 | 1.5525 | 1.2460 |
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86 |
+
| No log | 1.8421 | 70 | 1.4790 | 0.4384 | 1.4790 | 1.2161 |
|
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+
| No log | 1.8947 | 72 | 1.5991 | 0.3597 | 1.5991 | 1.2646 |
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+
| No log | 1.9474 | 74 | 1.5824 | 0.3852 | 1.5824 | 1.2580 |
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+
| No log | 2.0 | 76 | 1.1428 | 0.5649 | 1.1428 | 1.0690 |
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| No log | 2.0526 | 78 | 0.8653 | 0.6395 | 0.8653 | 0.9302 |
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| No log | 2.1053 | 80 | 0.9891 | 0.7093 | 0.9891 | 0.9945 |
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+
| No log | 2.1579 | 82 | 0.9977 | 0.7232 | 0.9977 | 0.9989 |
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+
| No log | 2.2105 | 84 | 0.8806 | 0.6667 | 0.8806 | 0.9384 |
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94 |
+
| No log | 2.2632 | 86 | 1.4881 | 0.3279 | 1.4881 | 1.2199 |
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95 |
+
| No log | 2.3158 | 88 | 2.3812 | 0.0458 | 2.3812 | 1.5431 |
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96 |
+
| No log | 2.3684 | 90 | 2.6567 | 0.0432 | 2.6567 | 1.6299 |
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97 |
+
| No log | 2.4211 | 92 | 2.3915 | 0.1471 | 2.3915 | 1.5465 |
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98 |
+
| No log | 2.4737 | 94 | 1.8075 | 0.2636 | 1.8075 | 1.3444 |
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99 |
+
| No log | 2.5263 | 96 | 1.3109 | 0.4848 | 1.3109 | 1.1450 |
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| No log | 2.5789 | 98 | 1.1344 | 0.512 | 1.1344 | 1.0651 |
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101 |
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| No log | 2.6316 | 100 | 1.3456 | 0.5 | 1.3456 | 1.1600 |
|
102 |
+
| No log | 2.6842 | 102 | 1.3684 | 0.3833 | 1.3684 | 1.1698 |
|
103 |
+
| No log | 2.7368 | 104 | 1.2126 | 0.4918 | 1.2126 | 1.1012 |
|
104 |
+
| No log | 2.7895 | 106 | 1.1143 | 0.5802 | 1.1143 | 1.0556 |
|
105 |
+
| No log | 2.8421 | 108 | 1.1552 | 0.5496 | 1.1552 | 1.0748 |
|
106 |
+
| No log | 2.8947 | 110 | 1.2114 | 0.5588 | 1.2114 | 1.1006 |
|
107 |
+
| No log | 2.9474 | 112 | 1.2116 | 0.4748 | 1.2116 | 1.1007 |
|
108 |
+
| No log | 3.0 | 114 | 1.2360 | 0.5241 | 1.2360 | 1.1117 |
|
109 |
+
| No log | 3.0526 | 116 | 1.3320 | 0.5 | 1.3320 | 1.1541 |
|
110 |
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| No log | 3.1053 | 118 | 1.2206 | 0.6056 | 1.2206 | 1.1048 |
|
111 |
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| No log | 3.1579 | 120 | 1.0082 | 0.6324 | 1.0082 | 1.0041 |
|
112 |
+
| No log | 3.2105 | 122 | 0.8508 | 0.6190 | 0.8508 | 0.9224 |
|
113 |
+
| No log | 3.2632 | 124 | 0.8296 | 0.6406 | 0.8296 | 0.9108 |
|
114 |
+
| No log | 3.3158 | 126 | 0.8050 | 0.6667 | 0.8050 | 0.8972 |
|
115 |
+
| No log | 3.3684 | 128 | 0.7426 | 0.6857 | 0.7426 | 0.8618 |
|
116 |
+
| No log | 3.4211 | 130 | 0.8318 | 0.6883 | 0.8318 | 0.9120 |
|
117 |
+
| No log | 3.4737 | 132 | 1.0191 | 0.6667 | 1.0191 | 1.0095 |
|
118 |
+
| No log | 3.5263 | 134 | 1.2713 | 0.6420 | 1.2713 | 1.1275 |
|
119 |
+
| No log | 3.5789 | 136 | 1.3426 | 0.4966 | 1.3426 | 1.1587 |
|
120 |
+
| No log | 3.6316 | 138 | 1.3311 | 0.5035 | 1.3311 | 1.1537 |
|
121 |
+
| No log | 3.6842 | 140 | 1.3922 | 0.4722 | 1.3922 | 1.1799 |
|
122 |
+
| No log | 3.7368 | 142 | 1.4159 | 0.4476 | 1.4159 | 1.1899 |
|
123 |
+
| No log | 3.7895 | 144 | 1.4553 | 0.4110 | 1.4553 | 1.2064 |
|
124 |
+
| No log | 3.8421 | 146 | 1.4288 | 0.3741 | 1.4288 | 1.1953 |
|
125 |
+
| No log | 3.8947 | 148 | 1.3819 | 0.4296 | 1.3819 | 1.1755 |
|
126 |
+
| No log | 3.9474 | 150 | 1.2125 | 0.5414 | 1.2125 | 1.1012 |
|
127 |
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| No log | 4.0 | 152 | 1.0672 | 0.6269 | 1.0672 | 1.0330 |
|
128 |
+
| No log | 4.0526 | 154 | 0.9690 | 0.6364 | 0.9690 | 0.9844 |
|
129 |
+
| No log | 4.1053 | 156 | 0.9293 | 0.6466 | 0.9293 | 0.9640 |
|
130 |
+
| No log | 4.1579 | 158 | 0.9038 | 0.6131 | 0.9038 | 0.9507 |
|
131 |
+
| No log | 4.2105 | 160 | 0.8848 | 0.6241 | 0.8848 | 0.9406 |
|
132 |
+
| No log | 4.2632 | 162 | 0.7979 | 0.7105 | 0.7979 | 0.8932 |
|
133 |
+
| No log | 4.3158 | 164 | 0.7598 | 0.6986 | 0.7598 | 0.8716 |
|
134 |
+
| No log | 4.3684 | 166 | 0.8346 | 0.6761 | 0.8346 | 0.9135 |
|
135 |
+
| No log | 4.4211 | 168 | 0.9083 | 0.6087 | 0.9083 | 0.9531 |
|
136 |
+
| No log | 4.4737 | 170 | 0.8673 | 0.6575 | 0.8673 | 0.9313 |
|
137 |
+
| No log | 4.5263 | 172 | 0.7607 | 0.6944 | 0.7607 | 0.8722 |
|
138 |
+
| No log | 4.5789 | 174 | 0.7268 | 0.6901 | 0.7268 | 0.8525 |
|
139 |
+
| No log | 4.6316 | 176 | 0.7154 | 0.7206 | 0.7154 | 0.8458 |
|
140 |
+
| No log | 4.6842 | 178 | 0.7203 | 0.7391 | 0.7203 | 0.8487 |
|
141 |
+
| No log | 4.7368 | 180 | 0.7318 | 0.7042 | 0.7318 | 0.8555 |
|
142 |
+
| No log | 4.7895 | 182 | 0.7482 | 0.7092 | 0.7482 | 0.8650 |
|
143 |
+
| No log | 4.8421 | 184 | 0.9835 | 0.6708 | 0.9835 | 0.9917 |
|
144 |
+
| No log | 4.8947 | 186 | 1.2783 | 0.5732 | 1.2783 | 1.1306 |
|
145 |
+
| No log | 4.9474 | 188 | 1.3347 | 0.4722 | 1.3347 | 1.1553 |
|
146 |
+
| No log | 5.0 | 190 | 1.3543 | 0.4493 | 1.3543 | 1.1638 |
|
147 |
+
| No log | 5.0526 | 192 | 1.3571 | 0.4539 | 1.3571 | 1.1649 |
|
148 |
+
| No log | 5.1053 | 194 | 1.2712 | 0.5324 | 1.2712 | 1.1275 |
|
149 |
+
| No log | 5.1579 | 196 | 1.1567 | 0.5649 | 1.1567 | 1.0755 |
|
150 |
+
| No log | 5.2105 | 198 | 1.0292 | 0.5846 | 1.0292 | 1.0145 |
|
151 |
+
| No log | 5.2632 | 200 | 0.9073 | 0.6074 | 0.9073 | 0.9525 |
|
152 |
+
| No log | 5.3158 | 202 | 0.8090 | 0.6667 | 0.8090 | 0.8994 |
|
153 |
+
| No log | 5.3684 | 204 | 0.7895 | 0.7034 | 0.7895 | 0.8885 |
|
154 |
+
| No log | 5.4211 | 206 | 0.8241 | 0.7179 | 0.8241 | 0.9078 |
|
155 |
+
| No log | 5.4737 | 208 | 0.7910 | 0.7067 | 0.7910 | 0.8894 |
|
156 |
+
| No log | 5.5263 | 210 | 0.7442 | 0.7183 | 0.7442 | 0.8627 |
|
157 |
+
| No log | 5.5789 | 212 | 0.7155 | 0.7246 | 0.7155 | 0.8459 |
|
158 |
+
| No log | 5.6316 | 214 | 0.7492 | 0.6870 | 0.7492 | 0.8656 |
|
159 |
+
| No log | 5.6842 | 216 | 0.7589 | 0.7176 | 0.7589 | 0.8711 |
|
160 |
+
| No log | 5.7368 | 218 | 0.8124 | 0.6667 | 0.8124 | 0.9013 |
|
161 |
+
| No log | 5.7895 | 220 | 0.8704 | 0.64 | 0.8704 | 0.9329 |
|
162 |
+
| No log | 5.8421 | 222 | 0.8785 | 0.6016 | 0.8785 | 0.9373 |
|
163 |
+
| No log | 5.8947 | 224 | 0.8310 | 0.6290 | 0.8310 | 0.9116 |
|
164 |
+
| No log | 5.9474 | 226 | 0.7858 | 0.6715 | 0.7858 | 0.8864 |
|
165 |
+
| No log | 6.0 | 228 | 0.8168 | 0.6892 | 0.8168 | 0.9037 |
|
166 |
+
| No log | 6.0526 | 230 | 0.8112 | 0.7160 | 0.8112 | 0.9007 |
|
167 |
+
| No log | 6.1053 | 232 | 0.7355 | 0.7034 | 0.7355 | 0.8576 |
|
168 |
+
| No log | 6.1579 | 234 | 0.7071 | 0.6901 | 0.7071 | 0.8409 |
|
169 |
+
| No log | 6.2105 | 236 | 0.6810 | 0.7092 | 0.6810 | 0.8253 |
|
170 |
+
| No log | 6.2632 | 238 | 0.7015 | 0.6906 | 0.7015 | 0.8376 |
|
171 |
+
| No log | 6.3158 | 240 | 0.7118 | 0.6901 | 0.7118 | 0.8437 |
|
172 |
+
| No log | 6.3684 | 242 | 0.7816 | 0.7051 | 0.7816 | 0.8841 |
|
173 |
+
| No log | 6.4211 | 244 | 0.8314 | 0.6483 | 0.8314 | 0.9118 |
|
174 |
+
| No log | 6.4737 | 246 | 0.8358 | 0.6338 | 0.8358 | 0.9142 |
|
175 |
+
| No log | 6.5263 | 248 | 0.8464 | 0.6475 | 0.8464 | 0.9200 |
|
176 |
+
| No log | 6.5789 | 250 | 0.8245 | 0.6667 | 0.8245 | 0.9080 |
|
177 |
+
| No log | 6.6316 | 252 | 0.8242 | 0.6619 | 0.8242 | 0.9078 |
|
178 |
+
| No log | 6.6842 | 254 | 0.8147 | 0.6479 | 0.8147 | 0.9026 |
|
179 |
+
| No log | 6.7368 | 256 | 0.8984 | 0.6438 | 0.8984 | 0.9479 |
|
180 |
+
| No log | 6.7895 | 258 | 0.9666 | 0.6667 | 0.9666 | 0.9831 |
|
181 |
+
| No log | 6.8421 | 260 | 0.8535 | 0.6438 | 0.8535 | 0.9239 |
|
182 |
+
| No log | 6.8947 | 262 | 0.7136 | 0.75 | 0.7136 | 0.8447 |
|
183 |
+
| No log | 6.9474 | 264 | 0.7150 | 0.7273 | 0.7150 | 0.8456 |
|
184 |
+
| No log | 7.0 | 266 | 0.7360 | 0.7273 | 0.7360 | 0.8579 |
|
185 |
+
| No log | 7.0526 | 268 | 0.8623 | 0.6143 | 0.8623 | 0.9286 |
|
186 |
+
| No log | 7.1053 | 270 | 1.0179 | 0.6154 | 1.0179 | 1.0089 |
|
187 |
+
| No log | 7.1579 | 272 | 1.0912 | 0.6111 | 1.0912 | 1.0446 |
|
188 |
+
| No log | 7.2105 | 274 | 1.1054 | 0.6667 | 1.1054 | 1.0514 |
|
189 |
+
| No log | 7.2632 | 276 | 1.0837 | 0.6667 | 1.0837 | 1.0410 |
|
190 |
+
| No log | 7.3158 | 278 | 0.8642 | 0.6122 | 0.8642 | 0.9296 |
|
191 |
+
| No log | 7.3684 | 280 | 0.7976 | 0.6573 | 0.7976 | 0.8931 |
|
192 |
+
| No log | 7.4211 | 282 | 0.7846 | 0.6713 | 0.7846 | 0.8858 |
|
193 |
+
| No log | 7.4737 | 284 | 0.8065 | 0.6571 | 0.8065 | 0.8980 |
|
194 |
+
| No log | 7.5263 | 286 | 0.9399 | 0.6383 | 0.9399 | 0.9695 |
|
195 |
+
| No log | 7.5789 | 288 | 1.0732 | 0.6309 | 1.0732 | 1.0360 |
|
196 |
+
| No log | 7.6316 | 290 | 1.0167 | 0.6197 | 1.0167 | 1.0083 |
|
197 |
+
| No log | 7.6842 | 292 | 0.9214 | 0.6418 | 0.9214 | 0.9599 |
|
198 |
+
| No log | 7.7368 | 294 | 0.9040 | 0.6154 | 0.9040 | 0.9508 |
|
199 |
+
| No log | 7.7895 | 296 | 0.9050 | 0.6715 | 0.9050 | 0.9513 |
|
200 |
+
| No log | 7.8421 | 298 | 0.9489 | 0.6475 | 0.9489 | 0.9741 |
|
201 |
+
| No log | 7.8947 | 300 | 1.0621 | 0.6345 | 1.0621 | 1.0306 |
|
202 |
+
| No log | 7.9474 | 302 | 1.1712 | 0.6087 | 1.1712 | 1.0822 |
|
203 |
+
| No log | 8.0 | 304 | 1.1365 | 0.6395 | 1.1365 | 1.0661 |
|
204 |
+
| No log | 8.0526 | 306 | 1.0163 | 0.6165 | 1.0163 | 1.0081 |
|
205 |
+
| No log | 8.1053 | 308 | 0.9613 | 0.6154 | 0.9613 | 0.9804 |
|
206 |
+
| No log | 8.1579 | 310 | 0.9813 | 0.6154 | 0.9813 | 0.9906 |
|
207 |
+
| No log | 8.2105 | 312 | 0.9958 | 0.6154 | 0.9958 | 0.9979 |
|
208 |
+
| No log | 8.2632 | 314 | 1.0176 | 0.6029 | 1.0176 | 1.0087 |
|
209 |
+
| No log | 8.3158 | 316 | 1.0025 | 0.6029 | 1.0025 | 1.0012 |
|
210 |
+
| No log | 8.3684 | 318 | 0.9628 | 0.6187 | 0.9628 | 0.9812 |
|
211 |
+
| No log | 8.4211 | 320 | 0.9296 | 0.6331 | 0.9296 | 0.9642 |
|
212 |
+
| No log | 8.4737 | 322 | 0.9337 | 0.6434 | 0.9337 | 0.9663 |
|
213 |
+
| No log | 8.5263 | 324 | 1.0286 | 0.6541 | 1.0286 | 1.0142 |
|
214 |
+
| No log | 8.5789 | 326 | 0.9525 | 0.6625 | 0.9525 | 0.9759 |
|
215 |
+
| No log | 8.6316 | 328 | 0.8520 | 0.6667 | 0.8520 | 0.9230 |
|
216 |
+
| No log | 8.6842 | 330 | 0.7534 | 0.6434 | 0.7534 | 0.8680 |
|
217 |
+
| No log | 8.7368 | 332 | 0.7706 | 0.6571 | 0.7706 | 0.8778 |
|
218 |
+
| No log | 8.7895 | 334 | 0.8344 | 0.6338 | 0.8344 | 0.9134 |
|
219 |
+
| No log | 8.8421 | 336 | 1.0324 | 0.6122 | 1.0324 | 1.0161 |
|
220 |
+
| No log | 8.8947 | 338 | 1.1776 | 0.5625 | 1.1776 | 1.0852 |
|
221 |
+
| No log | 8.9474 | 340 | 1.2065 | 0.55 | 1.2065 | 1.0984 |
|
222 |
+
| No log | 9.0 | 342 | 1.1013 | 0.5442 | 1.1013 | 1.0494 |
|
223 |
+
| No log | 9.0526 | 344 | 0.9965 | 0.6087 | 0.9965 | 0.9983 |
|
224 |
+
| No log | 9.1053 | 346 | 0.9069 | 0.6515 | 0.9069 | 0.9523 |
|
225 |
+
| No log | 9.1579 | 348 | 0.8589 | 0.6316 | 0.8589 | 0.9268 |
|
226 |
+
| No log | 9.2105 | 350 | 0.8387 | 0.6412 | 0.8387 | 0.9158 |
|
227 |
+
| No log | 9.2632 | 352 | 0.8336 | 0.6383 | 0.8336 | 0.9130 |
|
228 |
+
| No log | 9.3158 | 354 | 0.8491 | 0.6241 | 0.8491 | 0.9215 |
|
229 |
+
| No log | 9.3684 | 356 | 0.7910 | 0.6950 | 0.7910 | 0.8894 |
|
230 |
+
| No log | 9.4211 | 358 | 0.7147 | 0.7286 | 0.7147 | 0.8454 |
|
231 |
+
| No log | 9.4737 | 360 | 0.7023 | 0.7194 | 0.7023 | 0.8380 |
|
232 |
+
| No log | 9.5263 | 362 | 0.7073 | 0.75 | 0.7073 | 0.8410 |
|
233 |
+
| No log | 9.5789 | 364 | 0.7662 | 0.7333 | 0.7662 | 0.8754 |
|
234 |
+
| No log | 9.6316 | 366 | 0.8309 | 0.6800 | 0.8309 | 0.9115 |
|
235 |
+
| No log | 9.6842 | 368 | 0.8803 | 0.6623 | 0.8803 | 0.9383 |
|
236 |
+
| No log | 9.7368 | 370 | 0.8414 | 0.6757 | 0.8414 | 0.9173 |
|
237 |
+
| No log | 9.7895 | 372 | 0.7624 | 0.6950 | 0.7624 | 0.8732 |
|
238 |
+
| No log | 9.8421 | 374 | 0.7290 | 0.7218 | 0.7290 | 0.8538 |
|
239 |
+
| No log | 9.8947 | 376 | 0.7204 | 0.7407 | 0.7204 | 0.8488 |
|
240 |
+
| No log | 9.9474 | 378 | 0.7181 | 0.7407 | 0.7181 | 0.8474 |
|
241 |
+
| No log | 10.0 | 380 | 0.7476 | 0.7222 | 0.7476 | 0.8647 |
|
242 |
+
| No log | 10.0526 | 382 | 0.9072 | 0.6951 | 0.9072 | 0.9525 |
|
243 |
+
| No log | 10.1053 | 384 | 1.1234 | 0.6437 | 1.1234 | 1.0599 |
|
244 |
+
| No log | 10.1579 | 386 | 1.1215 | 0.6471 | 1.1215 | 1.0590 |
|
245 |
+
| No log | 10.2105 | 388 | 0.9986 | 0.6443 | 0.9986 | 0.9993 |
|
246 |
+
| No log | 10.2632 | 390 | 0.8506 | 0.6418 | 0.8506 | 0.9223 |
|
247 |
+
| No log | 10.3158 | 392 | 0.7912 | 0.6923 | 0.7912 | 0.8895 |
|
248 |
+
| No log | 10.3684 | 394 | 0.7855 | 0.6923 | 0.7855 | 0.8863 |
|
249 |
+
| No log | 10.4211 | 396 | 0.8103 | 0.6571 | 0.8103 | 0.9002 |
|
250 |
+
| No log | 10.4737 | 398 | 0.9447 | 0.6711 | 0.9447 | 0.9719 |
|
251 |
+
| No log | 10.5263 | 400 | 1.0041 | 0.6497 | 1.0041 | 1.0020 |
|
252 |
+
| No log | 10.5789 | 402 | 0.9867 | 0.6358 | 0.9867 | 0.9933 |
|
253 |
+
| No log | 10.6316 | 404 | 0.9519 | 0.6447 | 0.9519 | 0.9757 |
|
254 |
+
| No log | 10.6842 | 406 | 0.9617 | 0.6579 | 0.9617 | 0.9807 |
|
255 |
+
| No log | 10.7368 | 408 | 0.9044 | 0.6528 | 0.9044 | 0.9510 |
|
256 |
+
| No log | 10.7895 | 410 | 0.9059 | 0.6377 | 0.9059 | 0.9518 |
|
257 |
+
| No log | 10.8421 | 412 | 0.8774 | 0.6567 | 0.8774 | 0.9367 |
|
258 |
+
| No log | 10.8947 | 414 | 0.8581 | 0.6667 | 0.8581 | 0.9263 |
|
259 |
+
| No log | 10.9474 | 416 | 0.8466 | 0.6667 | 0.8466 | 0.9201 |
|
260 |
+
| No log | 11.0 | 418 | 0.8665 | 0.6617 | 0.8665 | 0.9308 |
|
261 |
+
| No log | 11.0526 | 420 | 0.9394 | 0.6620 | 0.9394 | 0.9692 |
|
262 |
+
| No log | 11.1053 | 422 | 0.9376 | 0.6475 | 0.9376 | 0.9683 |
|
263 |
+
| No log | 11.1579 | 424 | 0.8701 | 0.6515 | 0.8701 | 0.9328 |
|
264 |
+
| No log | 11.2105 | 426 | 0.8269 | 0.6667 | 0.8269 | 0.9094 |
|
265 |
+
| No log | 11.2632 | 428 | 0.8166 | 0.6849 | 0.8166 | 0.9036 |
|
266 |
+
| No log | 11.3158 | 430 | 0.8056 | 0.6621 | 0.8056 | 0.8975 |
|
267 |
+
| No log | 11.3684 | 432 | 0.7838 | 0.6761 | 0.7838 | 0.8853 |
|
268 |
+
| No log | 11.4211 | 434 | 0.7975 | 0.6765 | 0.7975 | 0.8930 |
|
269 |
+
| No log | 11.4737 | 436 | 0.8347 | 0.6515 | 0.8347 | 0.9136 |
|
270 |
+
| No log | 11.5263 | 438 | 0.8876 | 0.6047 | 0.8876 | 0.9421 |
|
271 |
+
| No log | 11.5789 | 440 | 0.9808 | 0.6434 | 0.9808 | 0.9904 |
|
272 |
+
| No log | 11.6316 | 442 | 1.1094 | 0.6275 | 1.1094 | 1.0533 |
|
273 |
+
| No log | 11.6842 | 444 | 1.1477 | 0.6125 | 1.1477 | 1.0713 |
|
274 |
+
| No log | 11.7368 | 446 | 1.0895 | 0.6234 | 1.0895 | 1.0438 |
|
275 |
+
| No log | 11.7895 | 448 | 1.0017 | 0.6099 | 1.0017 | 1.0009 |
|
276 |
+
| No log | 11.8421 | 450 | 0.9859 | 0.6143 | 0.9859 | 0.9929 |
|
277 |
+
| No log | 11.8947 | 452 | 0.9886 | 0.6099 | 0.9886 | 0.9943 |
|
278 |
+
| No log | 11.9474 | 454 | 0.9025 | 0.6522 | 0.9025 | 0.9500 |
|
279 |
+
| No log | 12.0 | 456 | 0.8577 | 0.6522 | 0.8577 | 0.9261 |
|
280 |
+
| No log | 12.0526 | 458 | 0.7998 | 0.6765 | 0.7998 | 0.8943 |
|
281 |
+
| No log | 12.1053 | 460 | 0.7373 | 0.6812 | 0.7373 | 0.8587 |
|
282 |
+
| No log | 12.1579 | 462 | 0.7166 | 0.6812 | 0.7166 | 0.8465 |
|
283 |
+
| No log | 12.2105 | 464 | 0.8053 | 0.6849 | 0.8053 | 0.8974 |
|
284 |
+
| No log | 12.2632 | 466 | 0.9128 | 0.6624 | 0.9128 | 0.9554 |
|
285 |
+
| No log | 12.3158 | 468 | 0.8908 | 0.6667 | 0.8908 | 0.9438 |
|
286 |
+
| No log | 12.3684 | 470 | 0.8094 | 0.6667 | 0.8094 | 0.8996 |
|
287 |
+
| No log | 12.4211 | 472 | 0.7073 | 0.7164 | 0.7073 | 0.8410 |
|
288 |
+
| No log | 12.4737 | 474 | 0.7016 | 0.7368 | 0.7016 | 0.8376 |
|
289 |
+
| No log | 12.5263 | 476 | 0.7198 | 0.6818 | 0.7198 | 0.8484 |
|
290 |
+
| No log | 12.5789 | 478 | 0.7994 | 0.6767 | 0.7994 | 0.8941 |
|
291 |
+
| No log | 12.6316 | 480 | 0.9242 | 0.6622 | 0.9242 | 0.9613 |
|
292 |
+
| No log | 12.6842 | 482 | 1.0968 | 0.6316 | 1.0968 | 1.0473 |
|
293 |
+
| No log | 12.7368 | 484 | 1.0812 | 0.6081 | 1.0812 | 1.0398 |
|
294 |
+
| No log | 12.7895 | 486 | 1.0790 | 0.6277 | 1.0790 | 1.0387 |
|
295 |
+
| No log | 12.8421 | 488 | 1.0081 | 0.6119 | 1.0081 | 1.0040 |
|
296 |
+
| No log | 12.8947 | 490 | 0.8668 | 0.6212 | 0.8668 | 0.9310 |
|
297 |
+
| No log | 12.9474 | 492 | 0.7777 | 0.6923 | 0.7777 | 0.8819 |
|
298 |
+
| No log | 13.0 | 494 | 0.7714 | 0.6667 | 0.7714 | 0.8783 |
|
299 |
+
| No log | 13.0526 | 496 | 0.8431 | 0.6622 | 0.8431 | 0.9182 |
|
300 |
+
| No log | 13.1053 | 498 | 0.8979 | 0.6797 | 0.8979 | 0.9476 |
|
301 |
+
| 0.4391 | 13.1579 | 500 | 0.8877 | 0.6294 | 0.8877 | 0.9422 |
|
302 |
+
| 0.4391 | 13.2105 | 502 | 0.8970 | 0.6423 | 0.8970 | 0.9471 |
|
303 |
+
| 0.4391 | 13.2632 | 504 | 0.9060 | 0.6212 | 0.9060 | 0.9519 |
|
304 |
+
| 0.4391 | 13.3158 | 506 | 0.9353 | 0.6061 | 0.9353 | 0.9671 |
|
305 |
+
| 0.4391 | 13.3684 | 508 | 0.9942 | 0.6061 | 0.9942 | 0.9971 |
|
306 |
+
| 0.4391 | 13.4211 | 510 | 1.0491 | 0.6061 | 1.0491 | 1.0242 |
|
307 |
+
| 0.4391 | 13.4737 | 512 | 1.1049 | 0.5882 | 1.1049 | 1.0511 |
|
308 |
+
|
309 |
+
|
310 |
+
### Framework versions
|
311 |
+
|
312 |
+
- Transformers 4.44.2
|
313 |
+
- Pytorch 2.4.0+cu118
|
314 |
+
- Datasets 2.21.0
|
315 |
+
- 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 sha256:596e3d00068ec9c2ebc8a42a5d3d362d67612ee2fe1c43f9547d7c0329862a34
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:948d8f723f2e779f51154f6d95110e254028337d20fe31e02db31fb52b478ba1
|
3 |
+
size 5304
|