Training in progress, step 500
Browse files- README.md +320 -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_run2_AugV5_k6_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_run2_AugV5_k6_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: 0.6526
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+
- Qwk: 0.7429
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- Mse: 0.6526
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- Rmse: 0.8079
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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 | 0.0444 | 2 | 6.6114 | 0.0123 | 6.6114 | 2.5713 |
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53 |
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| No log | 0.0889 | 4 | 4.4043 | 0.0732 | 4.4043 | 2.0986 |
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54 |
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| No log | 0.1333 | 6 | 2.8803 | 0.0952 | 2.8803 | 1.6971 |
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| No log | 0.1778 | 8 | 2.4508 | 0.0284 | 2.4508 | 1.5655 |
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| No log | 0.2222 | 10 | 2.0040 | 0.2143 | 2.0040 | 1.4156 |
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| No log | 0.2667 | 12 | 1.7093 | 0.1667 | 1.7093 | 1.3074 |
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| No log | 0.3111 | 14 | 1.6180 | 0.1869 | 1.6180 | 1.2720 |
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| No log | 0.3556 | 16 | 1.4972 | 0.1698 | 1.4972 | 1.2236 |
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| No log | 0.4 | 18 | 1.3365 | 0.2545 | 1.3365 | 1.1561 |
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| No log | 0.4444 | 20 | 1.4337 | 0.3511 | 1.4337 | 1.1974 |
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| No log | 0.4889 | 22 | 1.9006 | 0.3709 | 1.9006 | 1.3786 |
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| No log | 0.5333 | 24 | 1.7709 | 0.4027 | 1.7709 | 1.3308 |
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| No log | 0.5778 | 26 | 1.0056 | 0.6015 | 1.0056 | 1.0028 |
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| No log | 0.6222 | 28 | 0.9092 | 0.6917 | 0.9092 | 0.9535 |
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| No log | 0.6667 | 30 | 1.1067 | 0.6222 | 1.1067 | 1.0520 |
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| No log | 0.7111 | 32 | 0.8426 | 0.7206 | 0.8426 | 0.9179 |
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| No log | 0.7556 | 34 | 0.8974 | 0.6176 | 0.8974 | 0.9473 |
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| No log | 0.8 | 36 | 0.9845 | 0.6216 | 0.9845 | 0.9922 |
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| No log | 0.8444 | 38 | 1.2358 | 0.6265 | 1.2358 | 1.1116 |
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71 |
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| No log | 0.8889 | 40 | 0.8465 | 0.7262 | 0.8465 | 0.9201 |
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| No log | 0.9333 | 42 | 0.5996 | 0.7950 | 0.5996 | 0.7743 |
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| No log | 0.9778 | 44 | 0.5743 | 0.7898 | 0.5743 | 0.7578 |
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| No log | 1.0222 | 46 | 0.7228 | 0.7561 | 0.7228 | 0.8502 |
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| No log | 1.0667 | 48 | 1.6150 | 0.4859 | 1.6150 | 1.2708 |
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76 |
+
| No log | 1.1111 | 50 | 1.9330 | 0.4565 | 1.9330 | 1.3903 |
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| No log | 1.1556 | 52 | 1.2424 | 0.6092 | 1.2424 | 1.1146 |
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| No log | 1.2 | 54 | 0.6106 | 0.7953 | 0.6106 | 0.7814 |
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| No log | 1.2444 | 56 | 0.7013 | 0.7632 | 0.7013 | 0.8374 |
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| No log | 1.2889 | 58 | 0.6970 | 0.7273 | 0.6970 | 0.8349 |
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81 |
+
| No log | 1.3333 | 60 | 0.6694 | 0.75 | 0.6694 | 0.8182 |
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| No log | 1.3778 | 62 | 0.6057 | 0.7347 | 0.6057 | 0.7783 |
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| No log | 1.4222 | 64 | 0.6522 | 0.76 | 0.6522 | 0.8076 |
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| No log | 1.4667 | 66 | 0.6435 | 0.7310 | 0.6435 | 0.8022 |
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| No log | 1.5111 | 68 | 0.7914 | 0.6842 | 0.7914 | 0.8896 |
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+
| No log | 1.5556 | 70 | 0.6505 | 0.7843 | 0.6505 | 0.8065 |
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+
| No log | 1.6 | 72 | 0.6023 | 0.7692 | 0.6023 | 0.7761 |
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+
| No log | 1.6444 | 74 | 0.5897 | 0.75 | 0.5897 | 0.7679 |
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| No log | 1.6889 | 76 | 0.5682 | 0.75 | 0.5682 | 0.7538 |
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| No log | 1.7333 | 78 | 0.6418 | 0.7821 | 0.6418 | 0.8011 |
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| No log | 1.7778 | 80 | 0.7812 | 0.7665 | 0.7812 | 0.8839 |
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92 |
+
| No log | 1.8222 | 82 | 0.7934 | 0.7746 | 0.7934 | 0.8907 |
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93 |
+
| No log | 1.8667 | 84 | 0.6417 | 0.7636 | 0.6417 | 0.8011 |
|
94 |
+
| No log | 1.9111 | 86 | 0.5897 | 0.775 | 0.5897 | 0.7679 |
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+
| No log | 1.9556 | 88 | 0.7395 | 0.7484 | 0.7395 | 0.8600 |
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96 |
+
| No log | 2.0 | 90 | 0.8112 | 0.7368 | 0.8112 | 0.9007 |
|
97 |
+
| No log | 2.0444 | 92 | 0.7697 | 0.7248 | 0.7697 | 0.8773 |
|
98 |
+
| No log | 2.0889 | 94 | 0.7133 | 0.7368 | 0.7133 | 0.8445 |
|
99 |
+
| No log | 2.1333 | 96 | 0.7442 | 0.7484 | 0.7442 | 0.8627 |
|
100 |
+
| No log | 2.1778 | 98 | 0.7393 | 0.7531 | 0.7393 | 0.8598 |
|
101 |
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| No log | 2.2222 | 100 | 0.6957 | 0.7816 | 0.6957 | 0.8341 |
|
102 |
+
| No log | 2.2667 | 102 | 0.7206 | 0.8020 | 0.7206 | 0.8489 |
|
103 |
+
| No log | 2.3111 | 104 | 0.6310 | 0.8023 | 0.6310 | 0.7944 |
|
104 |
+
| No log | 2.3556 | 106 | 0.6352 | 0.8144 | 0.6352 | 0.7970 |
|
105 |
+
| No log | 2.4 | 108 | 0.7417 | 0.7574 | 0.7417 | 0.8612 |
|
106 |
+
| No log | 2.4444 | 110 | 0.6060 | 0.7950 | 0.6060 | 0.7785 |
|
107 |
+
| No log | 2.4889 | 112 | 0.5565 | 0.8025 | 0.5565 | 0.7460 |
|
108 |
+
| No log | 2.5333 | 114 | 0.5538 | 0.7975 | 0.5538 | 0.7442 |
|
109 |
+
| No log | 2.5778 | 116 | 0.6619 | 0.7389 | 0.6619 | 0.8135 |
|
110 |
+
| No log | 2.6222 | 118 | 0.6718 | 0.75 | 0.6718 | 0.8196 |
|
111 |
+
| No log | 2.6667 | 120 | 0.5412 | 0.8075 | 0.5412 | 0.7357 |
|
112 |
+
| No log | 2.7111 | 122 | 0.5753 | 0.7853 | 0.5753 | 0.7585 |
|
113 |
+
| No log | 2.7556 | 124 | 0.6027 | 0.8144 | 0.6027 | 0.7763 |
|
114 |
+
| No log | 2.8 | 126 | 0.4854 | 0.8434 | 0.4854 | 0.6967 |
|
115 |
+
| No log | 2.8444 | 128 | 0.5949 | 0.7784 | 0.5949 | 0.7713 |
|
116 |
+
| No log | 2.8889 | 130 | 0.9325 | 0.7059 | 0.9325 | 0.9657 |
|
117 |
+
| No log | 2.9333 | 132 | 1.0228 | 0.7120 | 1.0228 | 1.0114 |
|
118 |
+
| No log | 2.9778 | 134 | 0.6469 | 0.7791 | 0.6469 | 0.8043 |
|
119 |
+
| No log | 3.0222 | 136 | 0.5702 | 0.8049 | 0.5702 | 0.7551 |
|
120 |
+
| No log | 3.0667 | 138 | 0.6165 | 0.7875 | 0.6165 | 0.7851 |
|
121 |
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| No log | 3.1111 | 140 | 0.5653 | 0.8428 | 0.5653 | 0.7519 |
|
122 |
+
| No log | 3.1556 | 142 | 0.6222 | 0.7821 | 0.6222 | 0.7888 |
|
123 |
+
| No log | 3.2 | 144 | 0.6146 | 0.7712 | 0.6146 | 0.7839 |
|
124 |
+
| No log | 3.2444 | 146 | 0.5631 | 0.7949 | 0.5631 | 0.7504 |
|
125 |
+
| No log | 3.2889 | 148 | 0.5401 | 0.8333 | 0.5401 | 0.7349 |
|
126 |
+
| No log | 3.3333 | 150 | 0.5195 | 0.8409 | 0.5195 | 0.7208 |
|
127 |
+
| No log | 3.3778 | 152 | 0.5100 | 0.8306 | 0.5100 | 0.7142 |
|
128 |
+
| No log | 3.4222 | 154 | 0.5096 | 0.8434 | 0.5096 | 0.7139 |
|
129 |
+
| No log | 3.4667 | 156 | 0.5120 | 0.8304 | 0.5120 | 0.7155 |
|
130 |
+
| No log | 3.5111 | 158 | 0.5583 | 0.8187 | 0.5583 | 0.7472 |
|
131 |
+
| No log | 3.5556 | 160 | 0.6196 | 0.7826 | 0.6196 | 0.7872 |
|
132 |
+
| No log | 3.6 | 162 | 0.6098 | 0.7949 | 0.6098 | 0.7809 |
|
133 |
+
| No log | 3.6444 | 164 | 0.6061 | 0.8052 | 0.6061 | 0.7785 |
|
134 |
+
| No log | 3.6889 | 166 | 0.6081 | 0.8077 | 0.6081 | 0.7798 |
|
135 |
+
| No log | 3.7333 | 168 | 0.5628 | 0.8098 | 0.5628 | 0.7502 |
|
136 |
+
| No log | 3.7778 | 170 | 0.8343 | 0.7374 | 0.8343 | 0.9134 |
|
137 |
+
| No log | 3.8222 | 172 | 0.9469 | 0.6936 | 0.9469 | 0.9731 |
|
138 |
+
| No log | 3.8667 | 174 | 0.7277 | 0.6849 | 0.7277 | 0.8530 |
|
139 |
+
| No log | 3.9111 | 176 | 0.6042 | 0.8077 | 0.6042 | 0.7773 |
|
140 |
+
| No log | 3.9556 | 178 | 0.6312 | 0.7799 | 0.6312 | 0.7945 |
|
141 |
+
| No log | 4.0 | 180 | 0.5510 | 0.8025 | 0.5510 | 0.7423 |
|
142 |
+
| No log | 4.0444 | 182 | 0.5365 | 0.8380 | 0.5365 | 0.7325 |
|
143 |
+
| No log | 4.0889 | 184 | 0.6132 | 0.8187 | 0.6132 | 0.7831 |
|
144 |
+
| No log | 4.1333 | 186 | 0.5215 | 0.8525 | 0.5215 | 0.7222 |
|
145 |
+
| No log | 4.1778 | 188 | 0.5144 | 0.8492 | 0.5144 | 0.7173 |
|
146 |
+
| No log | 4.2222 | 190 | 0.5815 | 0.8177 | 0.5815 | 0.7625 |
|
147 |
+
| No log | 4.2667 | 192 | 0.5696 | 0.8177 | 0.5696 | 0.7547 |
|
148 |
+
| No log | 4.3111 | 194 | 0.5859 | 0.8068 | 0.5859 | 0.7654 |
|
149 |
+
| No log | 4.3556 | 196 | 0.5982 | 0.8024 | 0.5982 | 0.7734 |
|
150 |
+
| No log | 4.4 | 198 | 0.5708 | 0.8221 | 0.5708 | 0.7555 |
|
151 |
+
| No log | 4.4444 | 200 | 0.5794 | 0.8025 | 0.5794 | 0.7612 |
|
152 |
+
| No log | 4.4889 | 202 | 0.6168 | 0.7922 | 0.6168 | 0.7854 |
|
153 |
+
| No log | 4.5333 | 204 | 0.6735 | 0.76 | 0.6735 | 0.8207 |
|
154 |
+
| No log | 4.5778 | 206 | 0.6790 | 0.76 | 0.6790 | 0.8240 |
|
155 |
+
| No log | 4.6222 | 208 | 0.6946 | 0.7389 | 0.6946 | 0.8334 |
|
156 |
+
| No log | 4.6667 | 210 | 0.6741 | 0.7758 | 0.6741 | 0.8210 |
|
157 |
+
| No log | 4.7111 | 212 | 0.5764 | 0.8263 | 0.5764 | 0.7592 |
|
158 |
+
| No log | 4.7556 | 214 | 0.5793 | 0.8095 | 0.5793 | 0.7611 |
|
159 |
+
| No log | 4.8 | 216 | 0.5634 | 0.8193 | 0.5634 | 0.7506 |
|
160 |
+
| No log | 4.8444 | 218 | 0.5970 | 0.7758 | 0.5970 | 0.7727 |
|
161 |
+
| No log | 4.8889 | 220 | 0.6534 | 0.7578 | 0.6534 | 0.8083 |
|
162 |
+
| No log | 4.9333 | 222 | 0.6353 | 0.7468 | 0.6353 | 0.7970 |
|
163 |
+
| No log | 4.9778 | 224 | 0.5538 | 0.7792 | 0.5538 | 0.7442 |
|
164 |
+
| No log | 5.0222 | 226 | 0.5325 | 0.8344 | 0.5325 | 0.7297 |
|
165 |
+
| No log | 5.0667 | 228 | 0.5234 | 0.8272 | 0.5234 | 0.7235 |
|
166 |
+
| No log | 5.1111 | 230 | 0.5838 | 0.7950 | 0.5838 | 0.7640 |
|
167 |
+
| No log | 5.1556 | 232 | 0.6177 | 0.7875 | 0.6177 | 0.7859 |
|
168 |
+
| No log | 5.2 | 234 | 0.6114 | 0.7792 | 0.6114 | 0.7819 |
|
169 |
+
| No log | 5.2444 | 236 | 0.6375 | 0.7586 | 0.6375 | 0.7984 |
|
170 |
+
| No log | 5.2889 | 238 | 0.6570 | 0.7568 | 0.6570 | 0.8106 |
|
171 |
+
| No log | 5.3333 | 240 | 0.6343 | 0.7568 | 0.6343 | 0.7964 |
|
172 |
+
| No log | 5.3778 | 242 | 0.6049 | 0.7632 | 0.6049 | 0.7778 |
|
173 |
+
| No log | 5.4222 | 244 | 0.6262 | 0.7550 | 0.6262 | 0.7913 |
|
174 |
+
| No log | 5.4667 | 246 | 0.6235 | 0.7568 | 0.6235 | 0.7896 |
|
175 |
+
| No log | 5.5111 | 248 | 0.6353 | 0.7568 | 0.6353 | 0.7970 |
|
176 |
+
| No log | 5.5556 | 250 | 0.6581 | 0.7285 | 0.6581 | 0.8112 |
|
177 |
+
| No log | 5.6 | 252 | 0.6473 | 0.7172 | 0.6473 | 0.8046 |
|
178 |
+
| No log | 5.6444 | 254 | 0.6317 | 0.7413 | 0.6317 | 0.7948 |
|
179 |
+
| No log | 5.6889 | 256 | 0.6310 | 0.7286 | 0.6310 | 0.7944 |
|
180 |
+
| No log | 5.7333 | 258 | 0.6335 | 0.7571 | 0.6335 | 0.7959 |
|
181 |
+
| No log | 5.7778 | 260 | 0.6349 | 0.7286 | 0.6349 | 0.7968 |
|
182 |
+
| No log | 5.8222 | 262 | 0.6375 | 0.7324 | 0.6375 | 0.7984 |
|
183 |
+
| No log | 5.8667 | 264 | 0.7811 | 0.7237 | 0.7811 | 0.8838 |
|
184 |
+
| No log | 5.9111 | 266 | 0.8595 | 0.6982 | 0.8595 | 0.9271 |
|
185 |
+
| No log | 5.9556 | 268 | 0.6906 | 0.7237 | 0.6906 | 0.8310 |
|
186 |
+
| No log | 6.0 | 270 | 0.5657 | 0.8108 | 0.5657 | 0.7521 |
|
187 |
+
| No log | 6.0444 | 272 | 0.6042 | 0.7724 | 0.6042 | 0.7773 |
|
188 |
+
| No log | 6.0889 | 274 | 0.7426 | 0.7152 | 0.7426 | 0.8617 |
|
189 |
+
| No log | 6.1333 | 276 | 0.6104 | 0.7843 | 0.6104 | 0.7813 |
|
190 |
+
| No log | 6.1778 | 278 | 0.5099 | 0.8485 | 0.5099 | 0.7141 |
|
191 |
+
| No log | 6.2222 | 280 | 0.6144 | 0.8065 | 0.6144 | 0.7838 |
|
192 |
+
| No log | 6.2667 | 282 | 0.5796 | 0.8136 | 0.5796 | 0.7613 |
|
193 |
+
| No log | 6.3111 | 284 | 0.5364 | 0.8375 | 0.5364 | 0.7324 |
|
194 |
+
| No log | 6.3556 | 286 | 0.5674 | 0.8129 | 0.5674 | 0.7533 |
|
195 |
+
| No log | 6.4 | 288 | 0.6034 | 0.7843 | 0.6034 | 0.7768 |
|
196 |
+
| No log | 6.4444 | 290 | 0.6041 | 0.7974 | 0.6041 | 0.7773 |
|
197 |
+
| No log | 6.4889 | 292 | 0.6783 | 0.7114 | 0.6783 | 0.8236 |
|
198 |
+
| No log | 6.5333 | 294 | 0.8656 | 0.6957 | 0.8656 | 0.9304 |
|
199 |
+
| No log | 6.5778 | 296 | 0.9134 | 0.6533 | 0.9134 | 0.9557 |
|
200 |
+
| No log | 6.6222 | 298 | 0.8012 | 0.6475 | 0.8012 | 0.8951 |
|
201 |
+
| No log | 6.6667 | 300 | 0.7039 | 0.7338 | 0.7039 | 0.8390 |
|
202 |
+
| No log | 6.7111 | 302 | 0.6879 | 0.7568 | 0.6879 | 0.8294 |
|
203 |
+
| No log | 6.7556 | 304 | 0.7020 | 0.7417 | 0.7020 | 0.8379 |
|
204 |
+
| No log | 6.8 | 306 | 0.7252 | 0.7595 | 0.7252 | 0.8516 |
|
205 |
+
| No log | 6.8444 | 308 | 0.6971 | 0.7561 | 0.6971 | 0.8349 |
|
206 |
+
| No log | 6.8889 | 310 | 0.5765 | 0.7875 | 0.5765 | 0.7593 |
|
207 |
+
| No log | 6.9333 | 312 | 0.5433 | 0.8293 | 0.5433 | 0.7371 |
|
208 |
+
| No log | 6.9778 | 314 | 0.7664 | 0.75 | 0.7664 | 0.8755 |
|
209 |
+
| No log | 7.0222 | 316 | 0.8730 | 0.7253 | 0.8730 | 0.9344 |
|
210 |
+
| No log | 7.0667 | 318 | 0.7974 | 0.7226 | 0.7974 | 0.8930 |
|
211 |
+
| No log | 7.1111 | 320 | 0.6831 | 0.7552 | 0.6831 | 0.8265 |
|
212 |
+
| No log | 7.1556 | 322 | 0.6717 | 0.7552 | 0.6717 | 0.8196 |
|
213 |
+
| No log | 7.2 | 324 | 0.6482 | 0.7324 | 0.6482 | 0.8051 |
|
214 |
+
| No log | 7.2444 | 326 | 0.6234 | 0.75 | 0.6234 | 0.7896 |
|
215 |
+
| No log | 7.2889 | 328 | 0.6360 | 0.8 | 0.6360 | 0.7975 |
|
216 |
+
| No log | 7.3333 | 330 | 0.6000 | 0.8066 | 0.6000 | 0.7746 |
|
217 |
+
| No log | 7.3778 | 332 | 0.6453 | 0.7845 | 0.6453 | 0.8033 |
|
218 |
+
| No log | 7.4222 | 334 | 0.6075 | 0.7912 | 0.6075 | 0.7794 |
|
219 |
+
| No log | 7.4667 | 336 | 0.6057 | 0.7746 | 0.6057 | 0.7782 |
|
220 |
+
| No log | 7.5111 | 338 | 0.5724 | 0.7733 | 0.5724 | 0.7566 |
|
221 |
+
| No log | 7.5556 | 340 | 0.5803 | 0.7778 | 0.5803 | 0.7618 |
|
222 |
+
| No log | 7.6 | 342 | 0.6287 | 0.7286 | 0.6287 | 0.7929 |
|
223 |
+
| No log | 7.6444 | 344 | 0.6474 | 0.7606 | 0.6474 | 0.8046 |
|
224 |
+
| No log | 7.6889 | 346 | 0.6749 | 0.7234 | 0.6749 | 0.8215 |
|
225 |
+
| No log | 7.7333 | 348 | 0.6331 | 0.7361 | 0.6331 | 0.7957 |
|
226 |
+
| No log | 7.7778 | 350 | 0.5819 | 0.7891 | 0.5819 | 0.7628 |
|
227 |
+
| No log | 7.8222 | 352 | 0.5479 | 0.7843 | 0.5479 | 0.7402 |
|
228 |
+
| No log | 7.8667 | 354 | 0.5309 | 0.8263 | 0.5309 | 0.7286 |
|
229 |
+
| No log | 7.9111 | 356 | 0.5479 | 0.8052 | 0.5479 | 0.7402 |
|
230 |
+
| No log | 7.9556 | 358 | 0.5783 | 0.7763 | 0.5783 | 0.7605 |
|
231 |
+
| No log | 8.0 | 360 | 0.5649 | 0.7671 | 0.5649 | 0.7516 |
|
232 |
+
| No log | 8.0444 | 362 | 0.6276 | 0.7532 | 0.6276 | 0.7922 |
|
233 |
+
| No log | 8.0889 | 364 | 0.7619 | 0.7425 | 0.7619 | 0.8729 |
|
234 |
+
| No log | 8.1333 | 366 | 0.7498 | 0.7320 | 0.7498 | 0.8659 |
|
235 |
+
| No log | 8.1778 | 368 | 0.6637 | 0.7448 | 0.6637 | 0.8147 |
|
236 |
+
| No log | 8.2222 | 370 | 0.6423 | 0.7397 | 0.6423 | 0.8014 |
|
237 |
+
| No log | 8.2667 | 372 | 0.6098 | 0.7483 | 0.6098 | 0.7809 |
|
238 |
+
| No log | 8.3111 | 374 | 0.5812 | 0.8025 | 0.5812 | 0.7623 |
|
239 |
+
| No log | 8.3556 | 376 | 0.5601 | 0.8324 | 0.5601 | 0.7484 |
|
240 |
+
| No log | 8.4 | 378 | 0.5586 | 0.8304 | 0.5586 | 0.7474 |
|
241 |
+
| No log | 8.4444 | 380 | 0.5477 | 0.8171 | 0.5477 | 0.7401 |
|
242 |
+
| No log | 8.4889 | 382 | 0.5582 | 0.7922 | 0.5582 | 0.7471 |
|
243 |
+
| No log | 8.5333 | 384 | 0.5502 | 0.8000 | 0.5502 | 0.7417 |
|
244 |
+
| No log | 8.5778 | 386 | 0.5179 | 0.8503 | 0.5179 | 0.7197 |
|
245 |
+
| No log | 8.6222 | 388 | 0.5224 | 0.8208 | 0.5224 | 0.7228 |
|
246 |
+
| No log | 8.6667 | 390 | 0.5071 | 0.8492 | 0.5071 | 0.7121 |
|
247 |
+
| No log | 8.7111 | 392 | 0.5047 | 0.8523 | 0.5047 | 0.7104 |
|
248 |
+
| No log | 8.7556 | 394 | 0.4992 | 0.8492 | 0.4992 | 0.7065 |
|
249 |
+
| No log | 8.8 | 396 | 0.4897 | 0.8475 | 0.4897 | 0.6998 |
|
250 |
+
| No log | 8.8444 | 398 | 0.5070 | 0.8606 | 0.5070 | 0.7121 |
|
251 |
+
| No log | 8.8889 | 400 | 0.5536 | 0.7808 | 0.5536 | 0.7441 |
|
252 |
+
| No log | 8.9333 | 402 | 0.5909 | 0.7586 | 0.5909 | 0.7687 |
|
253 |
+
| No log | 8.9778 | 404 | 0.6079 | 0.7586 | 0.6079 | 0.7796 |
|
254 |
+
| No log | 9.0222 | 406 | 0.6305 | 0.75 | 0.6305 | 0.7940 |
|
255 |
+
| No log | 9.0667 | 408 | 0.6599 | 0.7222 | 0.6599 | 0.8123 |
|
256 |
+
| No log | 9.1111 | 410 | 0.6034 | 0.7586 | 0.6034 | 0.7768 |
|
257 |
+
| No log | 9.1556 | 412 | 0.6246 | 0.7947 | 0.6246 | 0.7903 |
|
258 |
+
| No log | 9.2 | 414 | 0.6614 | 0.76 | 0.6614 | 0.8133 |
|
259 |
+
| No log | 9.2444 | 416 | 0.6011 | 0.8105 | 0.6011 | 0.7753 |
|
260 |
+
| No log | 9.2889 | 418 | 0.6029 | 0.7517 | 0.6029 | 0.7765 |
|
261 |
+
| No log | 9.3333 | 420 | 0.8385 | 0.7219 | 0.8385 | 0.9157 |
|
262 |
+
| No log | 9.3778 | 422 | 1.0277 | 0.6705 | 1.0277 | 1.0137 |
|
263 |
+
| No log | 9.4222 | 424 | 0.9828 | 0.6216 | 0.9828 | 0.9914 |
|
264 |
+
| No log | 9.4667 | 426 | 0.8437 | 0.6853 | 0.8437 | 0.9185 |
|
265 |
+
| No log | 9.5111 | 428 | 0.6707 | 0.7324 | 0.6707 | 0.8190 |
|
266 |
+
| No log | 9.5556 | 430 | 0.6017 | 0.7361 | 0.6017 | 0.7757 |
|
267 |
+
| No log | 9.6 | 432 | 0.5792 | 0.7417 | 0.5792 | 0.7610 |
|
268 |
+
| No log | 9.6444 | 434 | 0.5700 | 0.7730 | 0.5700 | 0.7550 |
|
269 |
+
| No log | 9.6889 | 436 | 0.5775 | 0.7861 | 0.5775 | 0.7599 |
|
270 |
+
| No log | 9.7333 | 438 | 0.5584 | 0.7977 | 0.5584 | 0.7473 |
|
271 |
+
| No log | 9.7778 | 440 | 0.5143 | 0.8354 | 0.5143 | 0.7171 |
|
272 |
+
| No log | 9.8222 | 442 | 0.5308 | 0.8153 | 0.5308 | 0.7286 |
|
273 |
+
| No log | 9.8667 | 444 | 0.5678 | 0.8129 | 0.5678 | 0.7535 |
|
274 |
+
| No log | 9.9111 | 446 | 0.5905 | 0.7755 | 0.5905 | 0.7684 |
|
275 |
+
| No log | 9.9556 | 448 | 0.6385 | 0.7671 | 0.6385 | 0.7991 |
|
276 |
+
| No log | 10.0 | 450 | 0.6558 | 0.75 | 0.6558 | 0.8098 |
|
277 |
+
| No log | 10.0444 | 452 | 0.6559 | 0.7552 | 0.6559 | 0.8099 |
|
278 |
+
| No log | 10.0889 | 454 | 0.6374 | 0.7639 | 0.6374 | 0.7984 |
|
279 |
+
| No log | 10.1333 | 456 | 0.6132 | 0.7755 | 0.6132 | 0.7831 |
|
280 |
+
| No log | 10.1778 | 458 | 0.5976 | 0.7568 | 0.5976 | 0.7730 |
|
281 |
+
| No log | 10.2222 | 460 | 0.5756 | 0.7853 | 0.5756 | 0.7587 |
|
282 |
+
| No log | 10.2667 | 462 | 0.5710 | 0.7853 | 0.5710 | 0.7556 |
|
283 |
+
| No log | 10.3111 | 464 | 0.5776 | 0.7867 | 0.5776 | 0.7600 |
|
284 |
+
| No log | 10.3556 | 466 | 0.6501 | 0.7361 | 0.6501 | 0.8063 |
|
285 |
+
| No log | 10.4 | 468 | 0.7655 | 0.7042 | 0.7655 | 0.8749 |
|
286 |
+
| No log | 10.4444 | 470 | 0.8029 | 0.6957 | 0.8029 | 0.8961 |
|
287 |
+
| No log | 10.4889 | 472 | 0.7443 | 0.7234 | 0.7443 | 0.8627 |
|
288 |
+
| No log | 10.5333 | 474 | 0.6264 | 0.7413 | 0.6264 | 0.7915 |
|
289 |
+
| No log | 10.5778 | 476 | 0.5276 | 0.8289 | 0.5276 | 0.7264 |
|
290 |
+
| No log | 10.6222 | 478 | 0.4788 | 0.8375 | 0.4788 | 0.6920 |
|
291 |
+
| No log | 10.6667 | 480 | 0.4495 | 0.8721 | 0.4495 | 0.6704 |
|
292 |
+
| No log | 10.7111 | 482 | 0.4472 | 0.8686 | 0.4472 | 0.6688 |
|
293 |
+
| No log | 10.7556 | 484 | 0.4392 | 0.8621 | 0.4392 | 0.6627 |
|
294 |
+
| No log | 10.8 | 486 | 0.4495 | 0.8655 | 0.4495 | 0.6705 |
|
295 |
+
| No log | 10.8444 | 488 | 0.4826 | 0.8553 | 0.4826 | 0.6947 |
|
296 |
+
| No log | 10.8889 | 490 | 0.5865 | 0.7484 | 0.5865 | 0.7659 |
|
297 |
+
| No log | 10.9333 | 492 | 0.6696 | 0.7403 | 0.6696 | 0.8183 |
|
298 |
+
| No log | 10.9778 | 494 | 0.6510 | 0.7248 | 0.6510 | 0.8068 |
|
299 |
+
| No log | 11.0222 | 496 | 0.6093 | 0.7862 | 0.6093 | 0.7806 |
|
300 |
+
| No log | 11.0667 | 498 | 0.5671 | 0.8056 | 0.5671 | 0.7531 |
|
301 |
+
| 0.365 | 11.1111 | 500 | 0.5384 | 0.8138 | 0.5384 | 0.7338 |
|
302 |
+
| 0.365 | 11.1556 | 502 | 0.5049 | 0.8289 | 0.5049 | 0.7106 |
|
303 |
+
| 0.365 | 11.2 | 504 | 0.4819 | 0.8642 | 0.4819 | 0.6942 |
|
304 |
+
| 0.365 | 11.2444 | 506 | 0.4799 | 0.8554 | 0.4799 | 0.6928 |
|
305 |
+
| 0.365 | 11.2889 | 508 | 0.4839 | 0.8503 | 0.4839 | 0.6957 |
|
306 |
+
| 0.365 | 11.3333 | 510 | 0.4889 | 0.8415 | 0.4889 | 0.6992 |
|
307 |
+
| 0.365 | 11.3778 | 512 | 0.5011 | 0.8375 | 0.5011 | 0.7079 |
|
308 |
+
| 0.365 | 11.4222 | 514 | 0.5409 | 0.7758 | 0.5409 | 0.7355 |
|
309 |
+
| 0.365 | 11.4667 | 516 | 0.5545 | 0.7448 | 0.5545 | 0.7447 |
|
310 |
+
| 0.365 | 11.5111 | 518 | 0.6007 | 0.7413 | 0.6007 | 0.7751 |
|
311 |
+
| 0.365 | 11.5556 | 520 | 0.6531 | 0.7518 | 0.6531 | 0.8081 |
|
312 |
+
| 0.365 | 11.6 | 522 | 0.6526 | 0.7429 | 0.6526 | 0.8079 |
|
313 |
+
|
314 |
+
|
315 |
+
### Framework versions
|
316 |
+
|
317 |
+
- Transformers 4.44.2
|
318 |
+
- Pytorch 2.4.0+cu118
|
319 |
+
- Datasets 2.21.0
|
320 |
+
- 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 sha256:52590167201e616c3822b214dacee3e2348e01e4c73173a55d1722e76b47cc99
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:769639626b98c0526f9d988e51d7830ec4b01698e396fd081607efdb78b4328f
|
3 |
+
size 5304
|