Training in progress, step 500
Browse files- README.md +314 -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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k8_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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k8_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: 0.8517
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+
- Qwk: 0.3700
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- Mse: 0.8517
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- Rmse: 0.9229
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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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+
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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 | 0.0455 | 2 | 4.3835 | -0.0156 | 4.3835 | 2.0937 |
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53 |
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| No log | 0.0909 | 4 | 2.5692 | 0.0369 | 2.5692 | 1.6029 |
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54 |
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| No log | 0.1364 | 6 | 1.3236 | 0.0457 | 1.3236 | 1.1505 |
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55 |
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| No log | 0.1818 | 8 | 0.9170 | 0.0610 | 0.9170 | 0.9576 |
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56 |
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| No log | 0.2273 | 10 | 0.7958 | 0.2222 | 0.7958 | 0.8921 |
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| No log | 0.2727 | 12 | 1.1018 | 0.0508 | 1.1018 | 1.0496 |
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| No log | 0.3182 | 14 | 2.1526 | 0.0463 | 2.1526 | 1.4672 |
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| No log | 0.3636 | 16 | 2.2904 | 0.0526 | 2.2904 | 1.5134 |
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| No log | 0.4091 | 18 | 1.6850 | 0.0440 | 1.6850 | 1.2981 |
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| No log | 0.4545 | 20 | 1.0355 | 0.0 | 1.0355 | 1.0176 |
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| No log | 0.5 | 22 | 0.7964 | 0.2923 | 0.7964 | 0.8924 |
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| No log | 0.5455 | 24 | 0.8113 | 0.0869 | 0.8113 | 0.9007 |
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| No log | 0.5909 | 26 | 0.8513 | 0.0509 | 0.8513 | 0.9227 |
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| No log | 0.6364 | 28 | 0.8455 | 0.0364 | 0.8455 | 0.9195 |
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| No log | 0.6818 | 30 | 0.8208 | 0.0655 | 0.8208 | 0.9060 |
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| No log | 0.7273 | 32 | 0.8253 | 0.0868 | 0.8253 | 0.9085 |
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68 |
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| No log | 0.7727 | 34 | 0.8301 | 0.1624 | 0.8301 | 0.9111 |
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| No log | 0.8182 | 36 | 0.9030 | 0.1252 | 0.9030 | 0.9503 |
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| No log | 0.8636 | 38 | 0.9515 | 0.0462 | 0.9515 | 0.9755 |
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| No log | 0.9091 | 40 | 0.9483 | 0.0465 | 0.9483 | 0.9738 |
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72 |
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| No log | 0.9545 | 42 | 0.8961 | 0.1412 | 0.8961 | 0.9466 |
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73 |
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| No log | 1.0 | 44 | 0.8553 | 0.2853 | 0.8553 | 0.9248 |
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74 |
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| No log | 1.0455 | 46 | 0.8452 | 0.2289 | 0.8452 | 0.9194 |
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| No log | 1.0909 | 48 | 0.8243 | 0.2982 | 0.8243 | 0.9079 |
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76 |
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| No log | 1.1364 | 50 | 0.7719 | 0.3072 | 0.7719 | 0.8786 |
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| No log | 1.1818 | 52 | 0.7536 | 0.1819 | 0.7536 | 0.8681 |
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78 |
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| No log | 1.2273 | 54 | 0.7386 | 0.1758 | 0.7386 | 0.8594 |
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| No log | 1.2727 | 56 | 0.7311 | 0.2023 | 0.7311 | 0.8550 |
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80 |
+
| No log | 1.3182 | 58 | 0.7180 | 0.2946 | 0.7180 | 0.8474 |
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81 |
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| No log | 1.3636 | 60 | 0.7201 | 0.3947 | 0.7201 | 0.8486 |
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82 |
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| No log | 1.4091 | 62 | 0.7252 | 0.3844 | 0.7252 | 0.8516 |
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| No log | 1.4545 | 64 | 0.6957 | 0.3370 | 0.6957 | 0.8341 |
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| No log | 1.5 | 66 | 0.7031 | 0.2126 | 0.7031 | 0.8385 |
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+
| No log | 1.5455 | 68 | 0.6938 | 0.2711 | 0.6938 | 0.8329 |
|
86 |
+
| No log | 1.5909 | 70 | 0.6889 | 0.2961 | 0.6889 | 0.8300 |
|
87 |
+
| No log | 1.6364 | 72 | 0.6904 | 0.4060 | 0.6904 | 0.8309 |
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88 |
+
| No log | 1.6818 | 74 | 0.7638 | 0.2998 | 0.7638 | 0.8740 |
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+
| No log | 1.7273 | 76 | 0.7415 | 0.3380 | 0.7415 | 0.8611 |
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+
| No log | 1.7727 | 78 | 0.6965 | 0.3772 | 0.6965 | 0.8346 |
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91 |
+
| No log | 1.8182 | 80 | 0.7657 | 0.3064 | 0.7657 | 0.8751 |
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92 |
+
| No log | 1.8636 | 82 | 0.9503 | 0.1922 | 0.9503 | 0.9748 |
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93 |
+
| No log | 1.9091 | 84 | 0.8851 | 0.1976 | 0.8851 | 0.9408 |
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94 |
+
| No log | 1.9545 | 86 | 0.7015 | 0.3915 | 0.7015 | 0.8376 |
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95 |
+
| No log | 2.0 | 88 | 0.8719 | 0.2690 | 0.8719 | 0.9338 |
|
96 |
+
| No log | 2.0455 | 90 | 1.1031 | 0.2649 | 1.1031 | 1.0503 |
|
97 |
+
| No log | 2.0909 | 92 | 0.9964 | 0.2784 | 0.9964 | 0.9982 |
|
98 |
+
| No log | 2.1364 | 94 | 0.7387 | 0.2616 | 0.7387 | 0.8595 |
|
99 |
+
| No log | 2.1818 | 96 | 0.7395 | 0.3559 | 0.7395 | 0.8599 |
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100 |
+
| No log | 2.2273 | 98 | 0.7474 | 0.3141 | 0.7474 | 0.8645 |
|
101 |
+
| No log | 2.2727 | 100 | 0.7909 | 0.2672 | 0.7909 | 0.8893 |
|
102 |
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| No log | 2.3182 | 102 | 0.7805 | 0.2707 | 0.7805 | 0.8834 |
|
103 |
+
| No log | 2.3636 | 104 | 0.7224 | 0.3436 | 0.7224 | 0.8499 |
|
104 |
+
| No log | 2.4091 | 106 | 0.7079 | 0.3281 | 0.7079 | 0.8414 |
|
105 |
+
| No log | 2.4545 | 108 | 0.7130 | 0.3281 | 0.7130 | 0.8444 |
|
106 |
+
| No log | 2.5 | 110 | 0.7484 | 0.3951 | 0.7484 | 0.8651 |
|
107 |
+
| No log | 2.5455 | 112 | 0.7736 | 0.2529 | 0.7736 | 0.8795 |
|
108 |
+
| No log | 2.5909 | 114 | 0.7673 | 0.2899 | 0.7673 | 0.8760 |
|
109 |
+
| No log | 2.6364 | 116 | 0.7610 | 0.2790 | 0.7610 | 0.8723 |
|
110 |
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| No log | 2.6818 | 118 | 0.8298 | 0.3135 | 0.8298 | 0.9109 |
|
111 |
+
| No log | 2.7273 | 120 | 0.8733 | 0.3376 | 0.8733 | 0.9345 |
|
112 |
+
| No log | 2.7727 | 122 | 0.8024 | 0.3230 | 0.8024 | 0.8958 |
|
113 |
+
| No log | 2.8182 | 124 | 0.7338 | 0.2935 | 0.7338 | 0.8566 |
|
114 |
+
| No log | 2.8636 | 126 | 0.7680 | 0.3894 | 0.7680 | 0.8764 |
|
115 |
+
| No log | 2.9091 | 128 | 0.7510 | 0.3580 | 0.7510 | 0.8666 |
|
116 |
+
| No log | 2.9545 | 130 | 0.7125 | 0.3323 | 0.7125 | 0.8441 |
|
117 |
+
| No log | 3.0 | 132 | 0.7220 | 0.3240 | 0.7220 | 0.8497 |
|
118 |
+
| No log | 3.0455 | 134 | 0.7936 | 0.3476 | 0.7936 | 0.8908 |
|
119 |
+
| No log | 3.0909 | 136 | 0.8055 | 0.3449 | 0.8055 | 0.8975 |
|
120 |
+
| No log | 3.1364 | 138 | 0.7650 | 0.3628 | 0.7650 | 0.8746 |
|
121 |
+
| No log | 3.1818 | 140 | 0.8470 | 0.3706 | 0.8470 | 0.9203 |
|
122 |
+
| No log | 3.2273 | 142 | 0.7279 | 0.3904 | 0.7279 | 0.8532 |
|
123 |
+
| No log | 3.2727 | 144 | 0.8381 | 0.2649 | 0.8381 | 0.9155 |
|
124 |
+
| No log | 3.3182 | 146 | 0.9320 | 0.2336 | 0.9320 | 0.9654 |
|
125 |
+
| No log | 3.3636 | 148 | 0.8159 | 0.2419 | 0.8159 | 0.9032 |
|
126 |
+
| No log | 3.4091 | 150 | 0.7174 | 0.2942 | 0.7174 | 0.8470 |
|
127 |
+
| No log | 3.4545 | 152 | 0.7099 | 0.3557 | 0.7099 | 0.8426 |
|
128 |
+
| No log | 3.5 | 154 | 0.7085 | 0.4067 | 0.7085 | 0.8417 |
|
129 |
+
| No log | 3.5455 | 156 | 0.7057 | 0.4779 | 0.7057 | 0.8401 |
|
130 |
+
| No log | 3.5909 | 158 | 0.7109 | 0.3523 | 0.7109 | 0.8432 |
|
131 |
+
| No log | 3.6364 | 160 | 0.6892 | 0.3552 | 0.6892 | 0.8302 |
|
132 |
+
| No log | 3.6818 | 162 | 0.6827 | 0.3405 | 0.6827 | 0.8263 |
|
133 |
+
| No log | 3.7273 | 164 | 0.6949 | 0.3943 | 0.6949 | 0.8336 |
|
134 |
+
| No log | 3.7727 | 166 | 0.7034 | 0.3452 | 0.7034 | 0.8387 |
|
135 |
+
| No log | 3.8182 | 168 | 0.7843 | 0.3335 | 0.7843 | 0.8856 |
|
136 |
+
| No log | 3.8636 | 170 | 0.8337 | 0.2976 | 0.8337 | 0.9130 |
|
137 |
+
| No log | 3.9091 | 172 | 0.7465 | 0.3271 | 0.7465 | 0.8640 |
|
138 |
+
| No log | 3.9545 | 174 | 0.6937 | 0.3541 | 0.6937 | 0.8329 |
|
139 |
+
| No log | 4.0 | 176 | 0.7146 | 0.4061 | 0.7146 | 0.8453 |
|
140 |
+
| No log | 4.0455 | 178 | 0.6867 | 0.3847 | 0.6867 | 0.8287 |
|
141 |
+
| No log | 4.0909 | 180 | 0.6806 | 0.3345 | 0.6806 | 0.8250 |
|
142 |
+
| No log | 4.1364 | 182 | 0.7246 | 0.2632 | 0.7246 | 0.8512 |
|
143 |
+
| No log | 4.1818 | 184 | 0.6587 | 0.3337 | 0.6587 | 0.8116 |
|
144 |
+
| No log | 4.2273 | 186 | 0.6705 | 0.4598 | 0.6705 | 0.8189 |
|
145 |
+
| No log | 4.2727 | 188 | 0.6757 | 0.4448 | 0.6757 | 0.8220 |
|
146 |
+
| No log | 4.3182 | 190 | 0.6561 | 0.3412 | 0.6561 | 0.8100 |
|
147 |
+
| No log | 4.3636 | 192 | 0.7368 | 0.2695 | 0.7368 | 0.8584 |
|
148 |
+
| No log | 4.4091 | 194 | 0.7121 | 0.2934 | 0.7121 | 0.8439 |
|
149 |
+
| No log | 4.4545 | 196 | 0.6736 | 0.3649 | 0.6736 | 0.8207 |
|
150 |
+
| No log | 4.5 | 198 | 0.6871 | 0.3913 | 0.6871 | 0.8289 |
|
151 |
+
| No log | 4.5455 | 200 | 0.6877 | 0.3600 | 0.6877 | 0.8293 |
|
152 |
+
| No log | 4.5909 | 202 | 0.7147 | 0.3319 | 0.7147 | 0.8454 |
|
153 |
+
| No log | 4.6364 | 204 | 0.7462 | 0.3082 | 0.7462 | 0.8638 |
|
154 |
+
| No log | 4.6818 | 206 | 0.8064 | 0.3068 | 0.8064 | 0.8980 |
|
155 |
+
| No log | 4.7273 | 208 | 0.7396 | 0.3504 | 0.7396 | 0.8600 |
|
156 |
+
| No log | 4.7727 | 210 | 0.7323 | 0.3544 | 0.7323 | 0.8557 |
|
157 |
+
| No log | 4.8182 | 212 | 0.7695 | 0.3322 | 0.7695 | 0.8772 |
|
158 |
+
| No log | 4.8636 | 214 | 0.7286 | 0.3292 | 0.7286 | 0.8536 |
|
159 |
+
| No log | 4.9091 | 216 | 0.7981 | 0.3566 | 0.7981 | 0.8934 |
|
160 |
+
| No log | 4.9545 | 218 | 0.8278 | 0.3452 | 0.8278 | 0.9098 |
|
161 |
+
| No log | 5.0 | 220 | 0.7591 | 0.3074 | 0.7591 | 0.8712 |
|
162 |
+
| No log | 5.0455 | 222 | 0.7409 | 0.3260 | 0.7409 | 0.8608 |
|
163 |
+
| No log | 5.0909 | 224 | 0.7950 | 0.3139 | 0.7950 | 0.8916 |
|
164 |
+
| No log | 5.1364 | 226 | 0.7350 | 0.3406 | 0.7350 | 0.8573 |
|
165 |
+
| No log | 5.1818 | 228 | 0.7210 | 0.3722 | 0.7210 | 0.8491 |
|
166 |
+
| No log | 5.2273 | 230 | 0.7125 | 0.3289 | 0.7125 | 0.8441 |
|
167 |
+
| No log | 5.2727 | 232 | 0.6983 | 0.3868 | 0.6983 | 0.8357 |
|
168 |
+
| No log | 5.3182 | 234 | 0.6966 | 0.3792 | 0.6966 | 0.8346 |
|
169 |
+
| No log | 5.3636 | 236 | 0.6998 | 0.4089 | 0.6998 | 0.8366 |
|
170 |
+
| No log | 5.4091 | 238 | 0.7000 | 0.4023 | 0.7000 | 0.8367 |
|
171 |
+
| No log | 5.4545 | 240 | 0.6770 | 0.4335 | 0.6770 | 0.8228 |
|
172 |
+
| No log | 5.5 | 242 | 0.6754 | 0.3896 | 0.6754 | 0.8218 |
|
173 |
+
| No log | 5.5455 | 244 | 0.6815 | 0.4120 | 0.6815 | 0.8255 |
|
174 |
+
| No log | 5.5909 | 246 | 0.6875 | 0.2827 | 0.6875 | 0.8292 |
|
175 |
+
| No log | 5.6364 | 248 | 0.6987 | 0.2778 | 0.6987 | 0.8359 |
|
176 |
+
| No log | 5.6818 | 250 | 0.6901 | 0.3375 | 0.6901 | 0.8307 |
|
177 |
+
| No log | 5.7273 | 252 | 0.6991 | 0.2974 | 0.6991 | 0.8361 |
|
178 |
+
| No log | 5.7727 | 254 | 0.7011 | 0.3380 | 0.7011 | 0.8373 |
|
179 |
+
| No log | 5.8182 | 256 | 0.7015 | 0.4268 | 0.7015 | 0.8376 |
|
180 |
+
| No log | 5.8636 | 258 | 0.7120 | 0.3392 | 0.7120 | 0.8438 |
|
181 |
+
| No log | 5.9091 | 260 | 0.7275 | 0.3646 | 0.7275 | 0.8529 |
|
182 |
+
| No log | 5.9545 | 262 | 0.7523 | 0.3879 | 0.7523 | 0.8673 |
|
183 |
+
| No log | 6.0 | 264 | 0.7364 | 0.3861 | 0.7364 | 0.8581 |
|
184 |
+
| No log | 6.0455 | 266 | 0.7302 | 0.3696 | 0.7302 | 0.8545 |
|
185 |
+
| No log | 6.0909 | 268 | 0.7154 | 0.3671 | 0.7154 | 0.8458 |
|
186 |
+
| No log | 6.1364 | 270 | 0.7157 | 0.3701 | 0.7157 | 0.8460 |
|
187 |
+
| No log | 6.1818 | 272 | 0.7283 | 0.3767 | 0.7283 | 0.8534 |
|
188 |
+
| No log | 6.2273 | 274 | 0.7825 | 0.4457 | 0.7825 | 0.8846 |
|
189 |
+
| No log | 6.2727 | 276 | 0.7648 | 0.4118 | 0.7648 | 0.8745 |
|
190 |
+
| No log | 6.3182 | 278 | 0.7310 | 0.3797 | 0.7310 | 0.8550 |
|
191 |
+
| No log | 6.3636 | 280 | 0.7022 | 0.3971 | 0.7022 | 0.8380 |
|
192 |
+
| No log | 6.4091 | 282 | 0.7002 | 0.3545 | 0.7002 | 0.8368 |
|
193 |
+
| No log | 6.4545 | 284 | 0.7635 | 0.3938 | 0.7635 | 0.8738 |
|
194 |
+
| No log | 6.5 | 286 | 0.8213 | 0.4045 | 0.8213 | 0.9063 |
|
195 |
+
| No log | 6.5455 | 288 | 0.7945 | 0.4218 | 0.7945 | 0.8913 |
|
196 |
+
| No log | 6.5909 | 290 | 0.7414 | 0.3939 | 0.7414 | 0.8611 |
|
197 |
+
| No log | 6.6364 | 292 | 0.7133 | 0.3815 | 0.7133 | 0.8446 |
|
198 |
+
| No log | 6.6818 | 294 | 0.6963 | 0.3569 | 0.6963 | 0.8344 |
|
199 |
+
| No log | 6.7273 | 296 | 0.6826 | 0.3264 | 0.6826 | 0.8262 |
|
200 |
+
| No log | 6.7727 | 298 | 0.6915 | 0.4030 | 0.6915 | 0.8316 |
|
201 |
+
| No log | 6.8182 | 300 | 0.7166 | 0.4476 | 0.7166 | 0.8465 |
|
202 |
+
| No log | 6.8636 | 302 | 0.7637 | 0.4317 | 0.7637 | 0.8739 |
|
203 |
+
| No log | 6.9091 | 304 | 0.7796 | 0.4707 | 0.7796 | 0.8830 |
|
204 |
+
| No log | 6.9545 | 306 | 0.7562 | 0.3973 | 0.7562 | 0.8696 |
|
205 |
+
| No log | 7.0 | 308 | 0.7586 | 0.4221 | 0.7586 | 0.8710 |
|
206 |
+
| No log | 7.0455 | 310 | 0.7570 | 0.4307 | 0.7570 | 0.8701 |
|
207 |
+
| No log | 7.0909 | 312 | 0.7469 | 0.4111 | 0.7469 | 0.8642 |
|
208 |
+
| No log | 7.1364 | 314 | 0.7531 | 0.3657 | 0.7531 | 0.8678 |
|
209 |
+
| No log | 7.1818 | 316 | 0.7597 | 0.3603 | 0.7597 | 0.8716 |
|
210 |
+
| No log | 7.2273 | 318 | 0.7809 | 0.3820 | 0.7809 | 0.8837 |
|
211 |
+
| No log | 7.2727 | 320 | 0.7594 | 0.3357 | 0.7594 | 0.8715 |
|
212 |
+
| No log | 7.3182 | 322 | 0.7278 | 0.3176 | 0.7278 | 0.8531 |
|
213 |
+
| No log | 7.3636 | 324 | 0.7320 | 0.2511 | 0.7320 | 0.8556 |
|
214 |
+
| No log | 7.4091 | 326 | 0.7954 | 0.2207 | 0.7954 | 0.8918 |
|
215 |
+
| No log | 7.4545 | 328 | 0.7743 | 0.2371 | 0.7743 | 0.8799 |
|
216 |
+
| No log | 7.5 | 330 | 0.7040 | 0.3522 | 0.7040 | 0.8391 |
|
217 |
+
| No log | 7.5455 | 332 | 0.6999 | 0.3905 | 0.6999 | 0.8366 |
|
218 |
+
| No log | 7.5909 | 334 | 0.7024 | 0.3717 | 0.7024 | 0.8381 |
|
219 |
+
| No log | 7.6364 | 336 | 0.7408 | 0.4330 | 0.7408 | 0.8607 |
|
220 |
+
| No log | 7.6818 | 338 | 0.8220 | 0.4182 | 0.8220 | 0.9066 |
|
221 |
+
| No log | 7.7273 | 340 | 0.7948 | 0.4077 | 0.7948 | 0.8915 |
|
222 |
+
| No log | 7.7727 | 342 | 0.7225 | 0.4500 | 0.7225 | 0.8500 |
|
223 |
+
| No log | 7.8182 | 344 | 0.6824 | 0.3929 | 0.6824 | 0.8261 |
|
224 |
+
| No log | 7.8636 | 346 | 0.6878 | 0.4246 | 0.6878 | 0.8293 |
|
225 |
+
| No log | 7.9091 | 348 | 0.6761 | 0.4724 | 0.6761 | 0.8223 |
|
226 |
+
| No log | 7.9545 | 350 | 0.6688 | 0.4118 | 0.6688 | 0.8178 |
|
227 |
+
| No log | 8.0 | 352 | 0.6822 | 0.4622 | 0.6822 | 0.8259 |
|
228 |
+
| No log | 8.0455 | 354 | 0.6910 | 0.4370 | 0.6910 | 0.8312 |
|
229 |
+
| No log | 8.0909 | 356 | 0.6612 | 0.3740 | 0.6612 | 0.8132 |
|
230 |
+
| No log | 8.1364 | 358 | 0.6670 | 0.3877 | 0.6670 | 0.8167 |
|
231 |
+
| No log | 8.1818 | 360 | 0.7156 | 0.3529 | 0.7156 | 0.8459 |
|
232 |
+
| No log | 8.2273 | 362 | 0.8350 | 0.4182 | 0.8350 | 0.9138 |
|
233 |
+
| No log | 8.2727 | 364 | 0.8123 | 0.3898 | 0.8123 | 0.9013 |
|
234 |
+
| No log | 8.3182 | 366 | 0.7217 | 0.3114 | 0.7217 | 0.8495 |
|
235 |
+
| No log | 8.3636 | 368 | 0.7003 | 0.3992 | 0.7003 | 0.8368 |
|
236 |
+
| No log | 8.4091 | 370 | 0.7184 | 0.3477 | 0.7184 | 0.8476 |
|
237 |
+
| No log | 8.4545 | 372 | 0.6825 | 0.3742 | 0.6825 | 0.8261 |
|
238 |
+
| No log | 8.5 | 374 | 0.6933 | 0.2780 | 0.6933 | 0.8326 |
|
239 |
+
| No log | 8.5455 | 376 | 0.7395 | 0.3679 | 0.7395 | 0.8600 |
|
240 |
+
| No log | 8.5909 | 378 | 0.7328 | 0.3846 | 0.7328 | 0.8561 |
|
241 |
+
| No log | 8.6364 | 380 | 0.7175 | 0.3570 | 0.7175 | 0.8471 |
|
242 |
+
| No log | 8.6818 | 382 | 0.6899 | 0.3409 | 0.6899 | 0.8306 |
|
243 |
+
| No log | 8.7273 | 384 | 0.6803 | 0.3059 | 0.6803 | 0.8248 |
|
244 |
+
| No log | 8.7727 | 386 | 0.6862 | 0.3498 | 0.6862 | 0.8284 |
|
245 |
+
| No log | 8.8182 | 388 | 0.6849 | 0.3498 | 0.6849 | 0.8276 |
|
246 |
+
| No log | 8.8636 | 390 | 0.7117 | 0.3748 | 0.7117 | 0.8436 |
|
247 |
+
| No log | 8.9091 | 392 | 0.6843 | 0.3368 | 0.6843 | 0.8273 |
|
248 |
+
| No log | 8.9545 | 394 | 0.6891 | 0.3174 | 0.6891 | 0.8301 |
|
249 |
+
| No log | 9.0 | 396 | 0.7179 | 0.3997 | 0.7179 | 0.8473 |
|
250 |
+
| No log | 9.0455 | 398 | 0.7308 | 0.3997 | 0.7308 | 0.8549 |
|
251 |
+
| No log | 9.0909 | 400 | 0.7143 | 0.3821 | 0.7143 | 0.8451 |
|
252 |
+
| No log | 9.1364 | 402 | 0.7036 | 0.3352 | 0.7036 | 0.8388 |
|
253 |
+
| No log | 9.1818 | 404 | 0.7310 | 0.3864 | 0.7310 | 0.8550 |
|
254 |
+
| No log | 9.2273 | 406 | 0.8361 | 0.3788 | 0.8361 | 0.9144 |
|
255 |
+
| No log | 9.2727 | 408 | 0.8723 | 0.3845 | 0.8723 | 0.9340 |
|
256 |
+
| No log | 9.3182 | 410 | 0.7724 | 0.3388 | 0.7724 | 0.8789 |
|
257 |
+
| No log | 9.3636 | 412 | 0.7210 | 0.3523 | 0.7210 | 0.8491 |
|
258 |
+
| No log | 9.4091 | 414 | 0.6879 | 0.3281 | 0.6879 | 0.8294 |
|
259 |
+
| No log | 9.4545 | 416 | 0.6782 | 0.4096 | 0.6782 | 0.8235 |
|
260 |
+
| No log | 9.5 | 418 | 0.6974 | 0.3604 | 0.6974 | 0.8351 |
|
261 |
+
| No log | 9.5455 | 420 | 0.8132 | 0.3807 | 0.8132 | 0.9018 |
|
262 |
+
| No log | 9.5909 | 422 | 0.8383 | 0.3330 | 0.8383 | 0.9156 |
|
263 |
+
| No log | 9.6364 | 424 | 0.7456 | 0.4215 | 0.7456 | 0.8635 |
|
264 |
+
| No log | 9.6818 | 426 | 0.7191 | 0.3564 | 0.7191 | 0.8480 |
|
265 |
+
| No log | 9.7273 | 428 | 0.7095 | 0.3770 | 0.7095 | 0.8423 |
|
266 |
+
| No log | 9.7727 | 430 | 0.7538 | 0.3670 | 0.7538 | 0.8682 |
|
267 |
+
| No log | 9.8182 | 432 | 0.8142 | 0.3126 | 0.8142 | 0.9023 |
|
268 |
+
| No log | 9.8636 | 434 | 0.7640 | 0.2559 | 0.7640 | 0.8741 |
|
269 |
+
| No log | 9.9091 | 436 | 0.7081 | 0.3146 | 0.7081 | 0.8415 |
|
270 |
+
| No log | 9.9545 | 438 | 0.6685 | 0.4124 | 0.6685 | 0.8176 |
|
271 |
+
| No log | 10.0 | 440 | 0.6707 | 0.3571 | 0.6707 | 0.8190 |
|
272 |
+
| No log | 10.0455 | 442 | 0.7040 | 0.4552 | 0.7040 | 0.8390 |
|
273 |
+
| No log | 10.0909 | 444 | 0.7192 | 0.4295 | 0.7192 | 0.8480 |
|
274 |
+
| No log | 10.1364 | 446 | 0.6962 | 0.4079 | 0.6962 | 0.8344 |
|
275 |
+
| No log | 10.1818 | 448 | 0.6789 | 0.4084 | 0.6789 | 0.8240 |
|
276 |
+
| No log | 10.2273 | 450 | 0.6654 | 0.3532 | 0.6654 | 0.8157 |
|
277 |
+
| No log | 10.2727 | 452 | 0.6774 | 0.3778 | 0.6774 | 0.8230 |
|
278 |
+
| No log | 10.3182 | 454 | 0.6881 | 0.3942 | 0.6881 | 0.8295 |
|
279 |
+
| No log | 10.3636 | 456 | 0.7031 | 0.4310 | 0.7031 | 0.8385 |
|
280 |
+
| No log | 10.4091 | 458 | 0.7679 | 0.4051 | 0.7679 | 0.8763 |
|
281 |
+
| No log | 10.4545 | 460 | 0.7571 | 0.3906 | 0.7571 | 0.8701 |
|
282 |
+
| No log | 10.5 | 462 | 0.7001 | 0.4351 | 0.7001 | 0.8367 |
|
283 |
+
| No log | 10.5455 | 464 | 0.6856 | 0.4330 | 0.6856 | 0.8280 |
|
284 |
+
| No log | 10.5909 | 466 | 0.6693 | 0.3687 | 0.6693 | 0.8181 |
|
285 |
+
| No log | 10.6364 | 468 | 0.6557 | 0.3803 | 0.6557 | 0.8098 |
|
286 |
+
| No log | 10.6818 | 470 | 0.6764 | 0.3987 | 0.6764 | 0.8225 |
|
287 |
+
| No log | 10.7273 | 472 | 0.6885 | 0.4135 | 0.6885 | 0.8298 |
|
288 |
+
| No log | 10.7727 | 474 | 0.7302 | 0.4612 | 0.7302 | 0.8545 |
|
289 |
+
| No log | 10.8182 | 476 | 0.8298 | 0.4046 | 0.8298 | 0.9109 |
|
290 |
+
| No log | 10.8636 | 478 | 0.8811 | 0.4004 | 0.8811 | 0.9387 |
|
291 |
+
| No log | 10.9091 | 480 | 0.8006 | 0.3626 | 0.8006 | 0.8948 |
|
292 |
+
| No log | 10.9545 | 482 | 0.7373 | 0.3745 | 0.7373 | 0.8586 |
|
293 |
+
| No log | 11.0 | 484 | 0.7083 | 0.4203 | 0.7083 | 0.8416 |
|
294 |
+
| No log | 11.0455 | 486 | 0.6984 | 0.4075 | 0.6984 | 0.8357 |
|
295 |
+
| No log | 11.0909 | 488 | 0.7156 | 0.3082 | 0.7156 | 0.8460 |
|
296 |
+
| No log | 11.1364 | 490 | 0.7878 | 0.2922 | 0.7878 | 0.8876 |
|
297 |
+
| No log | 11.1818 | 492 | 0.8698 | 0.3776 | 0.8698 | 0.9326 |
|
298 |
+
| No log | 11.2273 | 494 | 0.8400 | 0.3865 | 0.8400 | 0.9165 |
|
299 |
+
| No log | 11.2727 | 496 | 0.7362 | 0.3217 | 0.7362 | 0.8580 |
|
300 |
+
| No log | 11.3182 | 498 | 0.6884 | 0.4181 | 0.6884 | 0.8297 |
|
301 |
+
| 0.3793 | 11.3636 | 500 | 0.7310 | 0.4003 | 0.7310 | 0.8550 |
|
302 |
+
| 0.3793 | 11.4091 | 502 | 0.7068 | 0.3965 | 0.7068 | 0.8407 |
|
303 |
+
| 0.3793 | 11.4545 | 504 | 0.6686 | 0.3840 | 0.6686 | 0.8177 |
|
304 |
+
| 0.3793 | 11.5 | 506 | 0.7124 | 0.3844 | 0.7124 | 0.8441 |
|
305 |
+
| 0.3793 | 11.5455 | 508 | 0.8183 | 0.3556 | 0.8183 | 0.9046 |
|
306 |
+
| 0.3793 | 11.5909 | 510 | 0.8517 | 0.3700 | 0.8517 | 0.9229 |
|
307 |
+
|
308 |
+
|
309 |
+
### Framework versions
|
310 |
+
|
311 |
+
- Transformers 4.44.2
|
312 |
+
- Pytorch 2.4.0+cu118
|
313 |
+
- Datasets 2.21.0
|
314 |
+
- 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 sha256:5b83f81ae6176793b7a7e2c00d994ec4dad8ace542bc311401c49feb3ea0f30a
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec2d5058e6624aeaa3b7110a506e80684307bc56a623c038618c187a411c5bb9
|
3 |
+
size 5240
|