Training in progress, step 500
Browse files- README.md +318 -0
- config.json +32 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
ADDED
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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_k12_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_k12_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: 0.6468
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+
- Qwk: 0.4617
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- Mse: 0.6468
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- Rmse: 0.8042
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## Model description
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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
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+
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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+
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
|
52 |
+
| No log | 0.0317 | 2 | 4.1985 | -0.0097 | 4.1985 | 2.0490 |
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53 |
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| No log | 0.0635 | 4 | 2.3389 | 0.0609 | 2.3389 | 1.5293 |
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54 |
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| No log | 0.0952 | 6 | 1.3887 | 0.0254 | 1.3887 | 1.1784 |
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55 |
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| No log | 0.1270 | 8 | 1.0340 | -0.0042 | 1.0340 | 1.0169 |
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56 |
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| No log | 0.1587 | 10 | 0.8402 | 0.1410 | 0.8402 | 0.9166 |
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57 |
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| No log | 0.1905 | 12 | 0.8571 | 0.0447 | 0.8571 | 0.9258 |
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| No log | 0.2222 | 14 | 1.1039 | -0.0127 | 1.1039 | 1.0507 |
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59 |
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| No log | 0.2540 | 16 | 1.0242 | 0.0208 | 1.0242 | 1.0120 |
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| No log | 0.2857 | 18 | 1.0984 | 0.0287 | 1.0984 | 1.0480 |
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61 |
+
| No log | 0.3175 | 20 | 0.9593 | 0.1298 | 0.9593 | 0.9794 |
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| No log | 0.3492 | 22 | 1.0632 | 0.1363 | 1.0632 | 1.0311 |
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63 |
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| No log | 0.3810 | 24 | 0.8693 | 0.2558 | 0.8693 | 0.9324 |
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| No log | 0.4127 | 26 | 1.1422 | 0.2340 | 1.1422 | 1.0687 |
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| No log | 0.4444 | 28 | 1.2859 | 0.2038 | 1.2859 | 1.1340 |
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| No log | 0.4762 | 30 | 1.0016 | 0.2941 | 1.0016 | 1.0008 |
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| No log | 0.5079 | 32 | 0.6653 | 0.3833 | 0.6653 | 0.8156 |
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68 |
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| No log | 0.5397 | 34 | 0.6925 | 0.3230 | 0.6925 | 0.8321 |
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69 |
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| No log | 0.5714 | 36 | 0.7306 | 0.3205 | 0.7306 | 0.8548 |
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| No log | 0.6032 | 38 | 0.8142 | 0.3063 | 0.8142 | 0.9023 |
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71 |
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| No log | 0.6349 | 40 | 0.8084 | 0.3482 | 0.8084 | 0.8991 |
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72 |
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| No log | 0.6667 | 42 | 0.8385 | 0.2830 | 0.8385 | 0.9157 |
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73 |
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| No log | 0.6984 | 44 | 1.1997 | 0.2771 | 1.1997 | 1.0953 |
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74 |
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| No log | 0.7302 | 46 | 1.6326 | 0.1908 | 1.6326 | 1.2777 |
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| No log | 0.7619 | 48 | 1.6272 | 0.2067 | 1.6272 | 1.2756 |
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76 |
+
| No log | 0.7937 | 50 | 1.1244 | 0.2275 | 1.1244 | 1.0604 |
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| No log | 0.8254 | 52 | 0.8440 | 0.2473 | 0.8440 | 0.9187 |
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78 |
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| No log | 0.8571 | 54 | 0.7300 | 0.3645 | 0.7300 | 0.8544 |
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+
| No log | 0.8889 | 56 | 0.7630 | 0.3544 | 0.7630 | 0.8735 |
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80 |
+
| No log | 0.9206 | 58 | 0.8919 | 0.2051 | 0.8919 | 0.9444 |
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81 |
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| No log | 0.9524 | 60 | 1.0523 | 0.1590 | 1.0523 | 1.0258 |
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82 |
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| No log | 0.9841 | 62 | 1.0067 | 0.1808 | 1.0067 | 1.0034 |
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| No log | 1.0159 | 64 | 0.9447 | 0.2086 | 0.9447 | 0.9720 |
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| No log | 1.0476 | 66 | 0.8764 | 0.1992 | 0.8764 | 0.9361 |
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| No log | 1.0794 | 68 | 0.8308 | 0.2396 | 0.8308 | 0.9115 |
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86 |
+
| No log | 1.1111 | 70 | 0.9603 | 0.3266 | 0.9603 | 0.9799 |
|
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+
| No log | 1.1429 | 72 | 1.2139 | 0.2778 | 1.2139 | 1.1018 |
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88 |
+
| No log | 1.1746 | 74 | 1.0292 | 0.3679 | 1.0292 | 1.0145 |
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+
| No log | 1.2063 | 76 | 0.7608 | 0.3933 | 0.7608 | 0.8722 |
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| No log | 1.2381 | 78 | 0.6512 | 0.4590 | 0.6512 | 0.8070 |
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+
| No log | 1.2698 | 80 | 0.6483 | 0.4420 | 0.6483 | 0.8052 |
|
92 |
+
| No log | 1.3016 | 82 | 0.6950 | 0.4260 | 0.6950 | 0.8337 |
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93 |
+
| No log | 1.3333 | 84 | 0.7048 | 0.4519 | 0.7048 | 0.8396 |
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94 |
+
| No log | 1.3651 | 86 | 0.7372 | 0.4297 | 0.7372 | 0.8586 |
|
95 |
+
| No log | 1.3968 | 88 | 0.7111 | 0.4691 | 0.7111 | 0.8433 |
|
96 |
+
| No log | 1.4286 | 90 | 0.6758 | 0.4643 | 0.6758 | 0.8221 |
|
97 |
+
| No log | 1.4603 | 92 | 0.6958 | 0.4707 | 0.6958 | 0.8341 |
|
98 |
+
| No log | 1.4921 | 94 | 0.7769 | 0.4336 | 0.7769 | 0.8814 |
|
99 |
+
| No log | 1.5238 | 96 | 1.0442 | 0.3690 | 1.0442 | 1.0219 |
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100 |
+
| No log | 1.5556 | 98 | 1.0660 | 0.3389 | 1.0660 | 1.0325 |
|
101 |
+
| No log | 1.5873 | 100 | 0.7735 | 0.3181 | 0.7735 | 0.8795 |
|
102 |
+
| No log | 1.6190 | 102 | 0.6747 | 0.3672 | 0.6747 | 0.8214 |
|
103 |
+
| No log | 1.6508 | 104 | 0.6733 | 0.3640 | 0.6733 | 0.8205 |
|
104 |
+
| No log | 1.6825 | 106 | 0.7902 | 0.3555 | 0.7902 | 0.8889 |
|
105 |
+
| No log | 1.7143 | 108 | 1.0763 | 0.3673 | 1.0763 | 1.0375 |
|
106 |
+
| No log | 1.7460 | 110 | 1.1485 | 0.3581 | 1.1485 | 1.0717 |
|
107 |
+
| No log | 1.7778 | 112 | 0.9092 | 0.3950 | 0.9092 | 0.9535 |
|
108 |
+
| No log | 1.8095 | 114 | 0.7695 | 0.3281 | 0.7695 | 0.8772 |
|
109 |
+
| No log | 1.8413 | 116 | 0.7634 | 0.3614 | 0.7634 | 0.8737 |
|
110 |
+
| No log | 1.8730 | 118 | 0.8207 | 0.4102 | 0.8207 | 0.9059 |
|
111 |
+
| No log | 1.9048 | 120 | 1.0257 | 0.4551 | 1.0257 | 1.0128 |
|
112 |
+
| No log | 1.9365 | 122 | 0.9929 | 0.4685 | 0.9929 | 0.9965 |
|
113 |
+
| No log | 1.9683 | 124 | 0.7427 | 0.4134 | 0.7427 | 0.8618 |
|
114 |
+
| No log | 2.0 | 126 | 0.6762 | 0.4837 | 0.6762 | 0.8223 |
|
115 |
+
| No log | 2.0317 | 128 | 0.6480 | 0.4257 | 0.6480 | 0.8050 |
|
116 |
+
| No log | 2.0635 | 130 | 0.6444 | 0.3738 | 0.6444 | 0.8028 |
|
117 |
+
| No log | 2.0952 | 132 | 0.7345 | 0.4020 | 0.7345 | 0.8570 |
|
118 |
+
| No log | 2.1270 | 134 | 0.8672 | 0.4290 | 0.8672 | 0.9312 |
|
119 |
+
| No log | 2.1587 | 136 | 0.9554 | 0.4172 | 0.9554 | 0.9774 |
|
120 |
+
| No log | 2.1905 | 138 | 0.8992 | 0.4145 | 0.8992 | 0.9483 |
|
121 |
+
| No log | 2.2222 | 140 | 0.8570 | 0.4258 | 0.8570 | 0.9258 |
|
122 |
+
| No log | 2.2540 | 142 | 0.6909 | 0.4308 | 0.6909 | 0.8312 |
|
123 |
+
| No log | 2.2857 | 144 | 0.6653 | 0.4853 | 0.6653 | 0.8156 |
|
124 |
+
| No log | 2.3175 | 146 | 0.7009 | 0.5102 | 0.7009 | 0.8372 |
|
125 |
+
| No log | 2.3492 | 148 | 0.7075 | 0.5620 | 0.7075 | 0.8412 |
|
126 |
+
| No log | 2.3810 | 150 | 0.8354 | 0.4990 | 0.8354 | 0.9140 |
|
127 |
+
| No log | 2.4127 | 152 | 0.8771 | 0.4824 | 0.8771 | 0.9365 |
|
128 |
+
| No log | 2.4444 | 154 | 1.0004 | 0.3834 | 1.0004 | 1.0002 |
|
129 |
+
| No log | 2.4762 | 156 | 0.9419 | 0.3670 | 0.9419 | 0.9705 |
|
130 |
+
| No log | 2.5079 | 158 | 0.9602 | 0.3670 | 0.9602 | 0.9799 |
|
131 |
+
| No log | 2.5397 | 160 | 0.8200 | 0.4941 | 0.8200 | 0.9056 |
|
132 |
+
| No log | 2.5714 | 162 | 0.8522 | 0.4330 | 0.8522 | 0.9231 |
|
133 |
+
| No log | 2.6032 | 164 | 0.7161 | 0.5053 | 0.7161 | 0.8462 |
|
134 |
+
| No log | 2.6349 | 166 | 0.7169 | 0.4996 | 0.7169 | 0.8467 |
|
135 |
+
| No log | 2.6667 | 168 | 0.8542 | 0.4521 | 0.8542 | 0.9242 |
|
136 |
+
| No log | 2.6984 | 170 | 1.0408 | 0.3563 | 1.0408 | 1.0202 |
|
137 |
+
| No log | 2.7302 | 172 | 0.8155 | 0.4280 | 0.8155 | 0.9031 |
|
138 |
+
| No log | 2.7619 | 174 | 0.6945 | 0.4898 | 0.6945 | 0.8334 |
|
139 |
+
| No log | 2.7937 | 176 | 0.6694 | 0.4345 | 0.6694 | 0.8182 |
|
140 |
+
| No log | 2.8254 | 178 | 0.6659 | 0.4241 | 0.6659 | 0.8160 |
|
141 |
+
| No log | 2.8571 | 180 | 0.7606 | 0.3964 | 0.7606 | 0.8721 |
|
142 |
+
| No log | 2.8889 | 182 | 0.7990 | 0.3795 | 0.7990 | 0.8939 |
|
143 |
+
| No log | 2.9206 | 184 | 0.7722 | 0.4240 | 0.7722 | 0.8787 |
|
144 |
+
| No log | 2.9524 | 186 | 0.7273 | 0.4113 | 0.7273 | 0.8528 |
|
145 |
+
| No log | 2.9841 | 188 | 0.7928 | 0.4033 | 0.7928 | 0.8904 |
|
146 |
+
| No log | 3.0159 | 190 | 0.7647 | 0.4425 | 0.7647 | 0.8745 |
|
147 |
+
| No log | 3.0476 | 192 | 0.8654 | 0.3742 | 0.8654 | 0.9303 |
|
148 |
+
| No log | 3.0794 | 194 | 1.1018 | 0.3700 | 1.1018 | 1.0497 |
|
149 |
+
| No log | 3.1111 | 196 | 0.9714 | 0.3796 | 0.9714 | 0.9856 |
|
150 |
+
| No log | 3.1429 | 198 | 0.7754 | 0.4422 | 0.7754 | 0.8805 |
|
151 |
+
| No log | 3.1746 | 200 | 0.6841 | 0.4497 | 0.6841 | 0.8271 |
|
152 |
+
| No log | 3.2063 | 202 | 0.6570 | 0.4049 | 0.6570 | 0.8105 |
|
153 |
+
| No log | 3.2381 | 204 | 0.6857 | 0.4398 | 0.6857 | 0.8281 |
|
154 |
+
| No log | 3.2698 | 206 | 0.7655 | 0.4252 | 0.7655 | 0.8749 |
|
155 |
+
| No log | 3.3016 | 208 | 0.7268 | 0.4410 | 0.7268 | 0.8525 |
|
156 |
+
| No log | 3.3333 | 210 | 0.6673 | 0.4874 | 0.6673 | 0.8169 |
|
157 |
+
| No log | 3.3651 | 212 | 0.7260 | 0.4553 | 0.7260 | 0.8520 |
|
158 |
+
| No log | 3.3968 | 214 | 0.8206 | 0.4075 | 0.8206 | 0.9059 |
|
159 |
+
| No log | 3.4286 | 216 | 0.7519 | 0.4461 | 0.7519 | 0.8671 |
|
160 |
+
| No log | 3.4603 | 218 | 0.7193 | 0.5170 | 0.7194 | 0.8481 |
|
161 |
+
| No log | 3.4921 | 220 | 0.7384 | 0.4849 | 0.7384 | 0.8593 |
|
162 |
+
| No log | 3.5238 | 222 | 0.7119 | 0.5197 | 0.7119 | 0.8437 |
|
163 |
+
| No log | 3.5556 | 224 | 0.7124 | 0.4656 | 0.7124 | 0.8440 |
|
164 |
+
| No log | 3.5873 | 226 | 0.7763 | 0.4065 | 0.7763 | 0.8811 |
|
165 |
+
| No log | 3.6190 | 228 | 0.7239 | 0.4628 | 0.7239 | 0.8508 |
|
166 |
+
| No log | 3.6508 | 230 | 0.7355 | 0.4361 | 0.7355 | 0.8576 |
|
167 |
+
| No log | 3.6825 | 232 | 0.7074 | 0.4097 | 0.7074 | 0.8410 |
|
168 |
+
| No log | 3.7143 | 234 | 0.7182 | 0.4153 | 0.7182 | 0.8475 |
|
169 |
+
| No log | 3.7460 | 236 | 0.7361 | 0.4051 | 0.7361 | 0.8579 |
|
170 |
+
| No log | 3.7778 | 238 | 0.7425 | 0.4419 | 0.7425 | 0.8617 |
|
171 |
+
| No log | 3.8095 | 240 | 0.7510 | 0.4477 | 0.7510 | 0.8666 |
|
172 |
+
| No log | 3.8413 | 242 | 0.7481 | 0.4813 | 0.7481 | 0.8649 |
|
173 |
+
| No log | 3.8730 | 244 | 0.7766 | 0.4279 | 0.7766 | 0.8812 |
|
174 |
+
| No log | 3.9048 | 246 | 0.7553 | 0.4472 | 0.7553 | 0.8691 |
|
175 |
+
| No log | 3.9365 | 248 | 0.7446 | 0.4592 | 0.7446 | 0.8629 |
|
176 |
+
| No log | 3.9683 | 250 | 0.7951 | 0.4476 | 0.7951 | 0.8917 |
|
177 |
+
| No log | 4.0 | 252 | 0.7595 | 0.4588 | 0.7595 | 0.8715 |
|
178 |
+
| No log | 4.0317 | 254 | 0.6920 | 0.4310 | 0.6920 | 0.8319 |
|
179 |
+
| No log | 4.0635 | 256 | 0.6952 | 0.3562 | 0.6952 | 0.8338 |
|
180 |
+
| No log | 4.0952 | 258 | 0.6660 | 0.2709 | 0.6660 | 0.8161 |
|
181 |
+
| No log | 4.1270 | 260 | 0.6759 | 0.3952 | 0.6759 | 0.8221 |
|
182 |
+
| No log | 4.1587 | 262 | 0.7101 | 0.3425 | 0.7101 | 0.8427 |
|
183 |
+
| No log | 4.1905 | 264 | 0.8133 | 0.3926 | 0.8133 | 0.9018 |
|
184 |
+
| No log | 4.2222 | 266 | 0.7580 | 0.3699 | 0.7580 | 0.8707 |
|
185 |
+
| No log | 4.2540 | 268 | 0.7293 | 0.4621 | 0.7293 | 0.8540 |
|
186 |
+
| No log | 4.2857 | 270 | 0.7459 | 0.4545 | 0.7459 | 0.8636 |
|
187 |
+
| No log | 4.3175 | 272 | 0.7806 | 0.4927 | 0.7806 | 0.8835 |
|
188 |
+
| No log | 4.3492 | 274 | 0.9133 | 0.3753 | 0.9133 | 0.9557 |
|
189 |
+
| No log | 4.3810 | 276 | 1.0909 | 0.3795 | 1.0909 | 1.0445 |
|
190 |
+
| No log | 4.4127 | 278 | 0.9129 | 0.3876 | 0.9129 | 0.9555 |
|
191 |
+
| No log | 4.4444 | 280 | 0.6822 | 0.3725 | 0.6822 | 0.8260 |
|
192 |
+
| No log | 4.4762 | 282 | 0.7058 | 0.4425 | 0.7058 | 0.8401 |
|
193 |
+
| No log | 4.5079 | 284 | 0.6988 | 0.4201 | 0.6988 | 0.8360 |
|
194 |
+
| No log | 4.5397 | 286 | 0.7506 | 0.3943 | 0.7506 | 0.8664 |
|
195 |
+
| No log | 4.5714 | 288 | 0.8990 | 0.3628 | 0.8990 | 0.9482 |
|
196 |
+
| No log | 4.6032 | 290 | 0.8977 | 0.3761 | 0.8977 | 0.9475 |
|
197 |
+
| No log | 4.6349 | 292 | 0.7466 | 0.3496 | 0.7466 | 0.8641 |
|
198 |
+
| No log | 4.6667 | 294 | 0.7251 | 0.4297 | 0.7251 | 0.8515 |
|
199 |
+
| No log | 4.6984 | 296 | 0.7432 | 0.4143 | 0.7432 | 0.8621 |
|
200 |
+
| No log | 4.7302 | 298 | 0.6917 | 0.4593 | 0.6917 | 0.8317 |
|
201 |
+
| No log | 4.7619 | 300 | 0.7187 | 0.3942 | 0.7187 | 0.8477 |
|
202 |
+
| No log | 4.7937 | 302 | 0.9081 | 0.3797 | 0.9081 | 0.9530 |
|
203 |
+
| No log | 4.8254 | 304 | 0.9147 | 0.3876 | 0.9147 | 0.9564 |
|
204 |
+
| No log | 4.8571 | 306 | 0.7353 | 0.4329 | 0.7353 | 0.8575 |
|
205 |
+
| No log | 4.8889 | 308 | 0.6900 | 0.4625 | 0.6900 | 0.8306 |
|
206 |
+
| No log | 4.9206 | 310 | 0.7806 | 0.4528 | 0.7806 | 0.8835 |
|
207 |
+
| No log | 4.9524 | 312 | 0.7511 | 0.4651 | 0.7511 | 0.8666 |
|
208 |
+
| No log | 4.9841 | 314 | 0.6900 | 0.4703 | 0.6900 | 0.8307 |
|
209 |
+
| No log | 5.0159 | 316 | 0.6448 | 0.5051 | 0.6448 | 0.8030 |
|
210 |
+
| No log | 5.0476 | 318 | 0.7429 | 0.4589 | 0.7429 | 0.8619 |
|
211 |
+
| No log | 5.0794 | 320 | 0.9207 | 0.4307 | 0.9207 | 0.9595 |
|
212 |
+
| No log | 5.1111 | 322 | 0.8850 | 0.4209 | 0.8850 | 0.9407 |
|
213 |
+
| No log | 5.1429 | 324 | 0.7212 | 0.4714 | 0.7212 | 0.8492 |
|
214 |
+
| No log | 5.1746 | 326 | 0.6456 | 0.4650 | 0.6456 | 0.8035 |
|
215 |
+
| No log | 5.2063 | 328 | 0.6902 | 0.5162 | 0.6902 | 0.8308 |
|
216 |
+
| No log | 5.2381 | 330 | 0.6686 | 0.4582 | 0.6686 | 0.8177 |
|
217 |
+
| No log | 5.2698 | 332 | 0.6229 | 0.3456 | 0.6229 | 0.7892 |
|
218 |
+
| No log | 5.3016 | 334 | 0.6483 | 0.3310 | 0.6483 | 0.8052 |
|
219 |
+
| No log | 5.3333 | 336 | 0.7364 | 0.3822 | 0.7364 | 0.8581 |
|
220 |
+
| No log | 5.3651 | 338 | 0.7452 | 0.3977 | 0.7452 | 0.8633 |
|
221 |
+
| No log | 5.3968 | 340 | 0.6764 | 0.4152 | 0.6764 | 0.8225 |
|
222 |
+
| No log | 5.4286 | 342 | 0.6695 | 0.4104 | 0.6695 | 0.8182 |
|
223 |
+
| No log | 5.4603 | 344 | 0.6998 | 0.4603 | 0.6998 | 0.8365 |
|
224 |
+
| No log | 5.4921 | 346 | 0.7254 | 0.4840 | 0.7254 | 0.8517 |
|
225 |
+
| No log | 5.5238 | 348 | 0.7975 | 0.3978 | 0.7975 | 0.8930 |
|
226 |
+
| No log | 5.5556 | 350 | 1.0017 | 0.4235 | 1.0017 | 1.0009 |
|
227 |
+
| No log | 5.5873 | 352 | 0.9517 | 0.4174 | 0.9517 | 0.9755 |
|
228 |
+
| No log | 5.6190 | 354 | 0.8220 | 0.3854 | 0.8220 | 0.9067 |
|
229 |
+
| No log | 5.6508 | 356 | 0.7428 | 0.4111 | 0.7428 | 0.8618 |
|
230 |
+
| No log | 5.6825 | 358 | 0.7048 | 0.5193 | 0.7048 | 0.8396 |
|
231 |
+
| No log | 5.7143 | 360 | 0.7686 | 0.4296 | 0.7686 | 0.8767 |
|
232 |
+
| No log | 5.7460 | 362 | 0.7461 | 0.4348 | 0.7461 | 0.8638 |
|
233 |
+
| No log | 5.7778 | 364 | 0.6796 | 0.3505 | 0.6796 | 0.8244 |
|
234 |
+
| No log | 5.8095 | 366 | 0.6641 | 0.4583 | 0.6641 | 0.8149 |
|
235 |
+
| No log | 5.8413 | 368 | 0.7783 | 0.3964 | 0.7783 | 0.8822 |
|
236 |
+
| No log | 5.8730 | 370 | 0.8155 | 0.3828 | 0.8155 | 0.9030 |
|
237 |
+
| No log | 5.9048 | 372 | 0.7156 | 0.4961 | 0.7156 | 0.8459 |
|
238 |
+
| No log | 5.9365 | 374 | 0.6841 | 0.4549 | 0.6841 | 0.8271 |
|
239 |
+
| No log | 5.9683 | 376 | 0.7285 | 0.4466 | 0.7285 | 0.8535 |
|
240 |
+
| No log | 6.0 | 378 | 0.7280 | 0.5318 | 0.7280 | 0.8532 |
|
241 |
+
| No log | 6.0317 | 380 | 0.7640 | 0.4743 | 0.7640 | 0.8741 |
|
242 |
+
| No log | 6.0635 | 382 | 0.9156 | 0.3898 | 0.9156 | 0.9569 |
|
243 |
+
| No log | 6.0952 | 384 | 0.9746 | 0.3883 | 0.9746 | 0.9872 |
|
244 |
+
| No log | 6.1270 | 386 | 0.8185 | 0.4267 | 0.8185 | 0.9047 |
|
245 |
+
| No log | 6.1587 | 388 | 0.6631 | 0.3985 | 0.6631 | 0.8143 |
|
246 |
+
| No log | 6.1905 | 390 | 0.6711 | 0.4539 | 0.6711 | 0.8192 |
|
247 |
+
| No log | 6.2222 | 392 | 0.6495 | 0.4038 | 0.6495 | 0.8059 |
|
248 |
+
| No log | 6.2540 | 394 | 0.6589 | 0.4357 | 0.6589 | 0.8117 |
|
249 |
+
| No log | 6.2857 | 396 | 0.6898 | 0.4198 | 0.6898 | 0.8305 |
|
250 |
+
| No log | 6.3175 | 398 | 0.6933 | 0.4257 | 0.6933 | 0.8326 |
|
251 |
+
| No log | 6.3492 | 400 | 0.6969 | 0.4285 | 0.6969 | 0.8348 |
|
252 |
+
| No log | 6.3810 | 402 | 0.6821 | 0.4481 | 0.6821 | 0.8259 |
|
253 |
+
| No log | 6.4127 | 404 | 0.7897 | 0.4080 | 0.7897 | 0.8886 |
|
254 |
+
| No log | 6.4444 | 406 | 0.8443 | 0.4138 | 0.8443 | 0.9188 |
|
255 |
+
| No log | 6.4762 | 408 | 0.7324 | 0.4531 | 0.7324 | 0.8558 |
|
256 |
+
| No log | 6.5079 | 410 | 0.6474 | 0.4296 | 0.6474 | 0.8046 |
|
257 |
+
| No log | 6.5397 | 412 | 0.6369 | 0.4666 | 0.6369 | 0.7981 |
|
258 |
+
| No log | 6.5714 | 414 | 0.6731 | 0.4711 | 0.6731 | 0.8204 |
|
259 |
+
| No log | 6.6032 | 416 | 0.6760 | 0.4693 | 0.6760 | 0.8222 |
|
260 |
+
| No log | 6.6349 | 418 | 0.6324 | 0.4742 | 0.6324 | 0.7953 |
|
261 |
+
| No log | 6.6667 | 420 | 0.6169 | 0.4049 | 0.6169 | 0.7854 |
|
262 |
+
| No log | 6.6984 | 422 | 0.6636 | 0.4032 | 0.6636 | 0.8146 |
|
263 |
+
| No log | 6.7302 | 424 | 0.6790 | 0.3615 | 0.6790 | 0.8240 |
|
264 |
+
| No log | 6.7619 | 426 | 0.6525 | 0.3764 | 0.6525 | 0.8078 |
|
265 |
+
| No log | 6.7937 | 428 | 0.6404 | 0.4799 | 0.6404 | 0.8003 |
|
266 |
+
| No log | 6.8254 | 430 | 0.6305 | 0.4262 | 0.6305 | 0.7941 |
|
267 |
+
| No log | 6.8571 | 432 | 0.6465 | 0.4476 | 0.6465 | 0.8040 |
|
268 |
+
| No log | 6.8889 | 434 | 0.6543 | 0.4721 | 0.6543 | 0.8089 |
|
269 |
+
| No log | 6.9206 | 436 | 0.6854 | 0.4517 | 0.6854 | 0.8279 |
|
270 |
+
| No log | 6.9524 | 438 | 0.7681 | 0.4469 | 0.7681 | 0.8764 |
|
271 |
+
| No log | 6.9841 | 440 | 0.7654 | 0.4334 | 0.7654 | 0.8749 |
|
272 |
+
| No log | 7.0159 | 442 | 0.6939 | 0.4734 | 0.6939 | 0.8330 |
|
273 |
+
| No log | 7.0476 | 444 | 0.6613 | 0.6189 | 0.6613 | 0.8132 |
|
274 |
+
| No log | 7.0794 | 446 | 0.6609 | 0.5481 | 0.6609 | 0.8129 |
|
275 |
+
| No log | 7.1111 | 448 | 0.6274 | 0.5103 | 0.6274 | 0.7921 |
|
276 |
+
| No log | 7.1429 | 450 | 0.6202 | 0.4770 | 0.6202 | 0.7875 |
|
277 |
+
| No log | 7.1746 | 452 | 0.6173 | 0.4998 | 0.6173 | 0.7857 |
|
278 |
+
| No log | 7.2063 | 454 | 0.6335 | 0.5161 | 0.6335 | 0.7960 |
|
279 |
+
| No log | 7.2381 | 456 | 0.6657 | 0.5353 | 0.6657 | 0.8159 |
|
280 |
+
| No log | 7.2698 | 458 | 0.6977 | 0.4681 | 0.6977 | 0.8353 |
|
281 |
+
| No log | 7.3016 | 460 | 0.7087 | 0.4777 | 0.7087 | 0.8419 |
|
282 |
+
| No log | 7.3333 | 462 | 0.6742 | 0.5609 | 0.6742 | 0.8211 |
|
283 |
+
| No log | 7.3651 | 464 | 0.7652 | 0.4042 | 0.7652 | 0.8747 |
|
284 |
+
| No log | 7.3968 | 466 | 0.9109 | 0.4307 | 0.9109 | 0.9544 |
|
285 |
+
| No log | 7.4286 | 468 | 0.8905 | 0.4235 | 0.8905 | 0.9437 |
|
286 |
+
| No log | 7.4603 | 470 | 0.6986 | 0.3803 | 0.6986 | 0.8358 |
|
287 |
+
| No log | 7.4921 | 472 | 0.6264 | 0.4514 | 0.6264 | 0.7914 |
|
288 |
+
| No log | 7.5238 | 474 | 0.7257 | 0.4218 | 0.7257 | 0.8519 |
|
289 |
+
| No log | 7.5556 | 476 | 0.7820 | 0.3452 | 0.7820 | 0.8843 |
|
290 |
+
| No log | 7.5873 | 478 | 0.7264 | 0.4166 | 0.7264 | 0.8523 |
|
291 |
+
| No log | 7.6190 | 480 | 0.6675 | 0.4435 | 0.6675 | 0.8170 |
|
292 |
+
| No log | 7.6508 | 482 | 0.6706 | 0.3904 | 0.6706 | 0.8189 |
|
293 |
+
| No log | 7.6825 | 484 | 0.7181 | 0.4608 | 0.7181 | 0.8474 |
|
294 |
+
| No log | 7.7143 | 486 | 0.7387 | 0.4539 | 0.7387 | 0.8595 |
|
295 |
+
| No log | 7.7460 | 488 | 0.6951 | 0.4284 | 0.6951 | 0.8337 |
|
296 |
+
| No log | 7.7778 | 490 | 0.7037 | 0.4408 | 0.7037 | 0.8389 |
|
297 |
+
| No log | 7.8095 | 492 | 0.6978 | 0.4506 | 0.6978 | 0.8353 |
|
298 |
+
| No log | 7.8413 | 494 | 0.6904 | 0.4809 | 0.6904 | 0.8309 |
|
299 |
+
| No log | 7.8730 | 496 | 0.6728 | 0.4846 | 0.6728 | 0.8202 |
|
300 |
+
| No log | 7.9048 | 498 | 0.6560 | 0.4642 | 0.6560 | 0.8099 |
|
301 |
+
| 0.3683 | 7.9365 | 500 | 0.6380 | 0.4690 | 0.6380 | 0.7988 |
|
302 |
+
| 0.3683 | 7.9683 | 502 | 0.6305 | 0.4690 | 0.6305 | 0.7940 |
|
303 |
+
| 0.3683 | 8.0 | 504 | 0.6386 | 0.5175 | 0.6386 | 0.7991 |
|
304 |
+
| 0.3683 | 8.0317 | 506 | 0.6675 | 0.4887 | 0.6675 | 0.8170 |
|
305 |
+
| 0.3683 | 8.0635 | 508 | 0.6431 | 0.5688 | 0.6431 | 0.8019 |
|
306 |
+
| 0.3683 | 8.0952 | 510 | 0.6678 | 0.4229 | 0.6678 | 0.8172 |
|
307 |
+
| 0.3683 | 8.1270 | 512 | 0.7706 | 0.3691 | 0.7706 | 0.8778 |
|
308 |
+
| 0.3683 | 8.1587 | 514 | 0.8158 | 0.3735 | 0.8158 | 0.9032 |
|
309 |
+
| 0.3683 | 8.1905 | 516 | 0.7496 | 0.3961 | 0.7496 | 0.8658 |
|
310 |
+
| 0.3683 | 8.2222 | 518 | 0.6468 | 0.4617 | 0.6468 | 0.8042 |
|
311 |
+
|
312 |
+
|
313 |
+
### Framework versions
|
314 |
+
|
315 |
+
- Transformers 4.44.2
|
316 |
+
- Pytorch 2.4.0+cu118
|
317 |
+
- Datasets 2.21.0
|
318 |
+
- 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 sha256:58dbf982cdce27998320a750e98d05edae56480d604abe75d19f62dc3e58ae72
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:38ccc189338b3d57980ec0bf4c4d6cdf669a51779d318b96343d599fa007196d
|
3 |
+
size 5304
|