Training in progress, step 500
Browse files- README.md +323 -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_k2_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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+
# ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_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: 0.7705
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- Qwk: 0.6569
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- Mse: 0.7705
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- Rmse: 0.8778
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## Model description
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More information needed
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## Intended uses & limitations
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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 |
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| No log | 0.1333 | 2 | 7.1591 | 0.0 | 7.1591 | 2.6756 |
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53 |
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| No log | 0.2667 | 4 | 4.7877 | 0.0524 | 4.7877 | 2.1881 |
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54 |
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| No log | 0.4 | 6 | 3.1233 | 0.0702 | 3.1233 | 1.7673 |
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| No log | 0.5333 | 8 | 2.1962 | 0.1727 | 2.1962 | 1.4819 |
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| No log | 0.6667 | 10 | 1.9398 | 0.2903 | 1.9398 | 1.3928 |
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| No log | 0.8 | 12 | 1.6027 | 0.1165 | 1.6027 | 1.2660 |
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| No log | 0.9333 | 14 | 1.5506 | 0.1346 | 1.5506 | 1.2452 |
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| No log | 1.0667 | 16 | 1.3790 | 0.2056 | 1.3790 | 1.1743 |
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| No log | 1.2 | 18 | 1.2470 | 0.3186 | 1.2470 | 1.1167 |
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| No log | 1.3333 | 20 | 1.1550 | 0.4333 | 1.1550 | 1.0747 |
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| No log | 1.4667 | 22 | 1.0187 | 0.576 | 1.0187 | 1.0093 |
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| No log | 1.6 | 24 | 1.0088 | 0.5738 | 1.0088 | 1.0044 |
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| No log | 1.7333 | 26 | 1.0497 | 0.5289 | 1.0497 | 1.0246 |
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| No log | 1.8667 | 28 | 1.2026 | 0.4098 | 1.2026 | 1.0966 |
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| No log | 2.0 | 30 | 1.5324 | 0.4714 | 1.5324 | 1.2379 |
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| No log | 2.1333 | 32 | 1.5250 | 0.4714 | 1.5250 | 1.2349 |
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| No log | 2.2667 | 34 | 1.2375 | 0.4688 | 1.2375 | 1.1124 |
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| No log | 2.4 | 36 | 1.0766 | 0.4 | 1.0766 | 1.0376 |
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| No log | 2.5333 | 38 | 1.1511 | 0.512 | 1.1511 | 1.0729 |
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| No log | 2.6667 | 40 | 1.0394 | 0.5414 | 1.0394 | 1.0195 |
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| No log | 2.8 | 42 | 0.8275 | 0.7639 | 0.8275 | 0.9096 |
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| No log | 2.9333 | 44 | 0.9014 | 0.6294 | 0.9014 | 0.9494 |
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| No log | 3.0667 | 46 | 0.8321 | 0.6849 | 0.8321 | 0.9122 |
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| No log | 3.2 | 48 | 0.9310 | 0.5985 | 0.9310 | 0.9649 |
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| No log | 3.3333 | 50 | 1.1985 | 0.5255 | 1.1985 | 1.0948 |
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| No log | 3.4667 | 52 | 1.2488 | 0.5522 | 1.2488 | 1.1175 |
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| No log | 3.6 | 54 | 0.8848 | 0.5942 | 0.8848 | 0.9406 |
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| No log | 3.7333 | 56 | 0.8724 | 0.6573 | 0.8724 | 0.9340 |
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| No log | 3.8667 | 58 | 0.8395 | 0.6429 | 0.8395 | 0.9163 |
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| No log | 4.0 | 60 | 0.8375 | 0.6667 | 0.8375 | 0.9151 |
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| No log | 4.1333 | 62 | 1.4544 | 0.5217 | 1.4544 | 1.2060 |
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| No log | 4.2667 | 64 | 1.7212 | 0.3623 | 1.7212 | 1.3119 |
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| No log | 4.4 | 66 | 1.3372 | 0.5217 | 1.3372 | 1.1564 |
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| No log | 4.5333 | 68 | 0.9463 | 0.6331 | 0.9463 | 0.9728 |
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| No log | 4.6667 | 70 | 0.8381 | 0.6131 | 0.8381 | 0.9155 |
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| No log | 4.8 | 72 | 0.9863 | 0.6143 | 0.9863 | 0.9931 |
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| No log | 4.9333 | 74 | 0.8956 | 0.5909 | 0.8956 | 0.9464 |
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| No log | 5.0667 | 76 | 0.9954 | 0.5985 | 0.9954 | 0.9977 |
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| No log | 5.2 | 78 | 1.1145 | 0.6014 | 1.1145 | 1.0557 |
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| No log | 5.3333 | 80 | 0.7857 | 0.7421 | 0.7857 | 0.8864 |
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| No log | 5.4667 | 82 | 0.6092 | 0.8070 | 0.6092 | 0.7805 |
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93 |
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| No log | 5.6 | 84 | 0.6328 | 0.8249 | 0.6328 | 0.7955 |
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| No log | 5.7333 | 86 | 0.6696 | 0.7958 | 0.6696 | 0.8183 |
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| No log | 5.8667 | 88 | 0.6070 | 0.8415 | 0.6070 | 0.7791 |
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| No log | 6.0 | 90 | 0.5202 | 0.8409 | 0.5202 | 0.7212 |
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97 |
+
| No log | 6.1333 | 92 | 0.5561 | 0.8 | 0.5561 | 0.7457 |
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98 |
+
| No log | 6.2667 | 94 | 0.6238 | 0.7222 | 0.6238 | 0.7898 |
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99 |
+
| No log | 6.4 | 96 | 0.6279 | 0.7347 | 0.6279 | 0.7924 |
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100 |
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| No log | 6.5333 | 98 | 0.6088 | 0.7724 | 0.6088 | 0.7802 |
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| No log | 6.6667 | 100 | 0.6743 | 0.7662 | 0.6743 | 0.8212 |
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102 |
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| No log | 6.8 | 102 | 0.7988 | 0.6792 | 0.7988 | 0.8937 |
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| No log | 6.9333 | 104 | 0.9505 | 0.6835 | 0.9505 | 0.9750 |
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104 |
+
| No log | 7.0667 | 106 | 0.9604 | 0.6918 | 0.9604 | 0.9800 |
|
105 |
+
| No log | 7.2 | 108 | 0.8895 | 0.6623 | 0.8895 | 0.9431 |
|
106 |
+
| No log | 7.3333 | 110 | 0.8564 | 0.6797 | 0.8564 | 0.9254 |
|
107 |
+
| No log | 7.4667 | 112 | 0.8144 | 0.6667 | 0.8144 | 0.9024 |
|
108 |
+
| No log | 7.6 | 114 | 0.7924 | 0.6761 | 0.7924 | 0.8902 |
|
109 |
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| No log | 7.7333 | 116 | 0.8918 | 0.6569 | 0.8918 | 0.9444 |
|
110 |
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| No log | 7.8667 | 118 | 1.0102 | 0.6015 | 1.0102 | 1.0051 |
|
111 |
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| No log | 8.0 | 120 | 1.2182 | 0.5532 | 1.2182 | 1.1037 |
|
112 |
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| No log | 8.1333 | 122 | 1.0953 | 0.5571 | 1.0953 | 1.0466 |
|
113 |
+
| No log | 8.2667 | 124 | 0.7035 | 0.6944 | 0.7035 | 0.8387 |
|
114 |
+
| No log | 8.4 | 126 | 0.6005 | 0.7922 | 0.6005 | 0.7749 |
|
115 |
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| No log | 8.5333 | 128 | 0.5702 | 0.7922 | 0.5702 | 0.7551 |
|
116 |
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| No log | 8.6667 | 130 | 0.6514 | 0.75 | 0.6514 | 0.8071 |
|
117 |
+
| No log | 8.8 | 132 | 0.8233 | 0.7125 | 0.8233 | 0.9074 |
|
118 |
+
| No log | 8.9333 | 134 | 0.7964 | 0.6968 | 0.7964 | 0.8924 |
|
119 |
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| No log | 9.0667 | 136 | 0.7415 | 0.7152 | 0.7415 | 0.8611 |
|
120 |
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| No log | 9.2 | 138 | 0.7455 | 0.7237 | 0.7455 | 0.8634 |
|
121 |
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| No log | 9.3333 | 140 | 0.7137 | 0.7237 | 0.7137 | 0.8448 |
|
122 |
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| No log | 9.4667 | 142 | 0.7399 | 0.7123 | 0.7399 | 0.8602 |
|
123 |
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| No log | 9.6 | 144 | 0.8228 | 0.7006 | 0.8228 | 0.9071 |
|
124 |
+
| No log | 9.7333 | 146 | 0.9337 | 0.6707 | 0.9337 | 0.9663 |
|
125 |
+
| No log | 9.8667 | 148 | 0.8870 | 0.6875 | 0.8870 | 0.9418 |
|
126 |
+
| No log | 10.0 | 150 | 0.7380 | 0.6803 | 0.7380 | 0.8591 |
|
127 |
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| No log | 10.1333 | 152 | 0.6247 | 0.7785 | 0.6247 | 0.7904 |
|
128 |
+
| No log | 10.2667 | 154 | 0.6099 | 0.7517 | 0.6099 | 0.7810 |
|
129 |
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| No log | 10.4 | 156 | 0.6132 | 0.76 | 0.6132 | 0.7830 |
|
130 |
+
| No log | 10.5333 | 158 | 0.6745 | 0.7895 | 0.6745 | 0.8213 |
|
131 |
+
| No log | 10.6667 | 160 | 0.7912 | 0.7134 | 0.7912 | 0.8895 |
|
132 |
+
| No log | 10.8 | 162 | 0.8054 | 0.7 | 0.8054 | 0.8974 |
|
133 |
+
| No log | 10.9333 | 164 | 0.7294 | 0.7273 | 0.7294 | 0.8541 |
|
134 |
+
| No log | 11.0667 | 166 | 0.7523 | 0.7162 | 0.7523 | 0.8674 |
|
135 |
+
| No log | 11.2 | 168 | 0.7630 | 0.7162 | 0.7630 | 0.8735 |
|
136 |
+
| No log | 11.3333 | 170 | 0.8160 | 0.6849 | 0.8160 | 0.9033 |
|
137 |
+
| No log | 11.4667 | 172 | 0.9148 | 0.7114 | 0.9148 | 0.9565 |
|
138 |
+
| No log | 11.6 | 174 | 0.8240 | 0.7211 | 0.8240 | 0.9077 |
|
139 |
+
| No log | 11.7333 | 176 | 0.8015 | 0.7211 | 0.8015 | 0.8952 |
|
140 |
+
| No log | 11.8667 | 178 | 0.7172 | 0.7285 | 0.7172 | 0.8469 |
|
141 |
+
| No log | 12.0 | 180 | 0.6864 | 0.7532 | 0.6864 | 0.8285 |
|
142 |
+
| No log | 12.1333 | 182 | 0.6589 | 0.7484 | 0.6589 | 0.8117 |
|
143 |
+
| No log | 12.2667 | 184 | 0.7187 | 0.75 | 0.7187 | 0.8478 |
|
144 |
+
| No log | 12.4 | 186 | 0.9424 | 0.6747 | 0.9424 | 0.9708 |
|
145 |
+
| No log | 12.5333 | 188 | 0.9982 | 0.6624 | 0.9982 | 0.9991 |
|
146 |
+
| No log | 12.6667 | 190 | 0.8464 | 0.6980 | 0.8464 | 0.9200 |
|
147 |
+
| No log | 12.8 | 192 | 0.7313 | 0.7 | 0.7313 | 0.8552 |
|
148 |
+
| No log | 12.9333 | 194 | 0.7473 | 0.7059 | 0.7473 | 0.8645 |
|
149 |
+
| No log | 13.0667 | 196 | 0.7806 | 0.6667 | 0.7806 | 0.8835 |
|
150 |
+
| No log | 13.2 | 198 | 0.8623 | 0.6853 | 0.8623 | 0.9286 |
|
151 |
+
| No log | 13.3333 | 200 | 0.8941 | 0.6980 | 0.8941 | 0.9456 |
|
152 |
+
| No log | 13.4667 | 202 | 0.8030 | 0.7190 | 0.8030 | 0.8961 |
|
153 |
+
| No log | 13.6 | 204 | 0.6835 | 0.7211 | 0.6835 | 0.8267 |
|
154 |
+
| No log | 13.7333 | 206 | 0.6546 | 0.7517 | 0.6546 | 0.8091 |
|
155 |
+
| No log | 13.8667 | 208 | 0.6821 | 0.7248 | 0.6821 | 0.8259 |
|
156 |
+
| No log | 14.0 | 210 | 0.7493 | 0.7059 | 0.7493 | 0.8656 |
|
157 |
+
| No log | 14.1333 | 212 | 0.6796 | 0.7595 | 0.6796 | 0.8244 |
|
158 |
+
| No log | 14.2667 | 214 | 0.6097 | 0.7211 | 0.6097 | 0.7808 |
|
159 |
+
| No log | 14.4 | 216 | 0.6323 | 0.7517 | 0.6323 | 0.7952 |
|
160 |
+
| No log | 14.5333 | 218 | 0.7023 | 0.7595 | 0.7023 | 0.8380 |
|
161 |
+
| No log | 14.6667 | 220 | 0.7917 | 0.7485 | 0.7917 | 0.8898 |
|
162 |
+
| No log | 14.8 | 222 | 0.8905 | 0.7126 | 0.8905 | 0.9437 |
|
163 |
+
| No log | 14.9333 | 224 | 0.7866 | 0.7273 | 0.7866 | 0.8869 |
|
164 |
+
| No log | 15.0667 | 226 | 0.7307 | 0.7226 | 0.7307 | 0.8548 |
|
165 |
+
| No log | 15.2 | 228 | 0.6855 | 0.7467 | 0.6855 | 0.8279 |
|
166 |
+
| No log | 15.3333 | 230 | 0.7603 | 0.7162 | 0.7603 | 0.8720 |
|
167 |
+
| No log | 15.4667 | 232 | 0.8091 | 0.6853 | 0.8091 | 0.8995 |
|
168 |
+
| No log | 15.6 | 234 | 0.8997 | 0.6667 | 0.8997 | 0.9485 |
|
169 |
+
| No log | 15.7333 | 236 | 0.8520 | 0.6667 | 0.8520 | 0.9230 |
|
170 |
+
| No log | 15.8667 | 238 | 0.7621 | 0.7092 | 0.7621 | 0.8730 |
|
171 |
+
| No log | 16.0 | 240 | 0.7004 | 0.7361 | 0.7004 | 0.8369 |
|
172 |
+
| No log | 16.1333 | 242 | 0.7369 | 0.7703 | 0.7369 | 0.8585 |
|
173 |
+
| No log | 16.2667 | 244 | 0.7463 | 0.7467 | 0.7463 | 0.8639 |
|
174 |
+
| No log | 16.4 | 246 | 0.7566 | 0.7248 | 0.7566 | 0.8698 |
|
175 |
+
| No log | 16.5333 | 248 | 0.8413 | 0.6846 | 0.8413 | 0.9172 |
|
176 |
+
| No log | 16.6667 | 250 | 0.8310 | 0.6846 | 0.8310 | 0.9116 |
|
177 |
+
| No log | 16.8 | 252 | 0.7611 | 0.7211 | 0.7611 | 0.8724 |
|
178 |
+
| No log | 16.9333 | 254 | 0.7351 | 0.7133 | 0.7351 | 0.8574 |
|
179 |
+
| No log | 17.0667 | 256 | 0.7503 | 0.6980 | 0.7503 | 0.8662 |
|
180 |
+
| No log | 17.2 | 258 | 0.9328 | 0.6788 | 0.9328 | 0.9658 |
|
181 |
+
| No log | 17.3333 | 260 | 1.0674 | 0.6548 | 1.0674 | 1.0332 |
|
182 |
+
| No log | 17.4667 | 262 | 0.9606 | 0.6824 | 0.9606 | 0.9801 |
|
183 |
+
| No log | 17.6 | 264 | 0.7710 | 0.7013 | 0.7710 | 0.8781 |
|
184 |
+
| No log | 17.7333 | 266 | 0.7065 | 0.7368 | 0.7065 | 0.8406 |
|
185 |
+
| No log | 17.8667 | 268 | 0.7576 | 0.7337 | 0.7576 | 0.8704 |
|
186 |
+
| No log | 18.0 | 270 | 0.8783 | 0.6905 | 0.8783 | 0.9372 |
|
187 |
+
| No log | 18.1333 | 272 | 0.8999 | 0.6826 | 0.8999 | 0.9486 |
|
188 |
+
| No log | 18.2667 | 274 | 0.8225 | 0.7073 | 0.8225 | 0.9069 |
|
189 |
+
| No log | 18.4 | 276 | 0.7227 | 0.7368 | 0.7227 | 0.8501 |
|
190 |
+
| No log | 18.5333 | 278 | 0.6778 | 0.7516 | 0.6778 | 0.8233 |
|
191 |
+
| No log | 18.6667 | 280 | 0.6369 | 0.7654 | 0.6369 | 0.7981 |
|
192 |
+
| No log | 18.8 | 282 | 0.6252 | 0.7722 | 0.6252 | 0.7907 |
|
193 |
+
| No log | 18.9333 | 284 | 0.6745 | 0.7613 | 0.6745 | 0.8213 |
|
194 |
+
| No log | 19.0667 | 286 | 0.7654 | 0.7042 | 0.7654 | 0.8749 |
|
195 |
+
| No log | 19.2 | 288 | 0.9340 | 0.6438 | 0.9340 | 0.9664 |
|
196 |
+
| No log | 19.3333 | 290 | 0.9901 | 0.6479 | 0.9901 | 0.9950 |
|
197 |
+
| No log | 19.4667 | 292 | 0.9158 | 0.6761 | 0.9158 | 0.9570 |
|
198 |
+
| No log | 19.6 | 294 | 0.7656 | 0.7 | 0.7656 | 0.8750 |
|
199 |
+
| No log | 19.7333 | 296 | 0.6968 | 0.7465 | 0.6968 | 0.8347 |
|
200 |
+
| No log | 19.8667 | 298 | 0.7134 | 0.7234 | 0.7134 | 0.8446 |
|
201 |
+
| No log | 20.0 | 300 | 0.7965 | 0.7006 | 0.7965 | 0.8925 |
|
202 |
+
| No log | 20.1333 | 302 | 0.9796 | 0.6667 | 0.9796 | 0.9897 |
|
203 |
+
| No log | 20.2667 | 304 | 1.0642 | 0.6588 | 1.0642 | 1.0316 |
|
204 |
+
| No log | 20.4 | 306 | 1.0274 | 0.6667 | 1.0274 | 1.0136 |
|
205 |
+
| No log | 20.5333 | 308 | 0.9192 | 0.6864 | 0.9192 | 0.9588 |
|
206 |
+
| No log | 20.6667 | 310 | 0.8704 | 0.6667 | 0.8704 | 0.9329 |
|
207 |
+
| No log | 20.8 | 312 | 0.8688 | 0.6800 | 0.8688 | 0.9321 |
|
208 |
+
| No log | 20.9333 | 314 | 0.7876 | 0.6944 | 0.7876 | 0.8875 |
|
209 |
+
| No log | 21.0667 | 316 | 0.7202 | 0.6912 | 0.7202 | 0.8487 |
|
210 |
+
| No log | 21.2 | 318 | 0.6952 | 0.7111 | 0.6952 | 0.8338 |
|
211 |
+
| No log | 21.3333 | 320 | 0.6970 | 0.7338 | 0.6970 | 0.8349 |
|
212 |
+
| No log | 21.4667 | 322 | 0.6890 | 0.7429 | 0.6890 | 0.8300 |
|
213 |
+
| No log | 21.6 | 324 | 0.6939 | 0.7413 | 0.6939 | 0.8330 |
|
214 |
+
| No log | 21.7333 | 326 | 0.8418 | 0.6667 | 0.8418 | 0.9175 |
|
215 |
+
| No log | 21.8667 | 328 | 0.9336 | 0.6582 | 0.9336 | 0.9662 |
|
216 |
+
| No log | 22.0 | 330 | 0.8689 | 0.6709 | 0.8689 | 0.9322 |
|
217 |
+
| No log | 22.1333 | 332 | 0.7287 | 0.7432 | 0.7287 | 0.8536 |
|
218 |
+
| No log | 22.2667 | 334 | 0.7207 | 0.7552 | 0.7207 | 0.8489 |
|
219 |
+
| No log | 22.4 | 336 | 0.7480 | 0.7324 | 0.7480 | 0.8649 |
|
220 |
+
| No log | 22.5333 | 338 | 0.7340 | 0.7042 | 0.7340 | 0.8567 |
|
221 |
+
| No log | 22.6667 | 340 | 0.7411 | 0.6809 | 0.7411 | 0.8609 |
|
222 |
+
| No log | 22.8 | 342 | 0.8965 | 0.6797 | 0.8965 | 0.9468 |
|
223 |
+
| No log | 22.9333 | 344 | 1.1200 | 0.6509 | 1.1200 | 1.0583 |
|
224 |
+
| No log | 23.0667 | 346 | 1.1414 | 0.6463 | 1.1414 | 1.0684 |
|
225 |
+
| No log | 23.2 | 348 | 0.9674 | 0.6490 | 0.9674 | 0.9835 |
|
226 |
+
| No log | 23.3333 | 350 | 0.7491 | 0.7042 | 0.7491 | 0.8655 |
|
227 |
+
| No log | 23.4667 | 352 | 0.6221 | 0.7947 | 0.6221 | 0.7887 |
|
228 |
+
| No log | 23.6 | 354 | 0.5920 | 0.8258 | 0.5920 | 0.7694 |
|
229 |
+
| No log | 23.7333 | 356 | 0.6024 | 0.8182 | 0.6024 | 0.7761 |
|
230 |
+
| No log | 23.8667 | 358 | 0.6768 | 0.7654 | 0.6768 | 0.8227 |
|
231 |
+
| No log | 24.0 | 360 | 0.8628 | 0.6790 | 0.8628 | 0.9288 |
|
232 |
+
| No log | 24.1333 | 362 | 0.9549 | 0.6667 | 0.9549 | 0.9772 |
|
233 |
+
| No log | 24.2667 | 364 | 0.8936 | 0.6711 | 0.8936 | 0.9453 |
|
234 |
+
| No log | 24.4 | 366 | 0.7763 | 0.6950 | 0.7763 | 0.8811 |
|
235 |
+
| No log | 24.5333 | 368 | 0.7381 | 0.7518 | 0.7381 | 0.8591 |
|
236 |
+
| No log | 24.6667 | 370 | 0.7743 | 0.7143 | 0.7743 | 0.8800 |
|
237 |
+
| No log | 24.8 | 372 | 0.7473 | 0.7413 | 0.7473 | 0.8645 |
|
238 |
+
| No log | 24.9333 | 374 | 0.7225 | 0.7234 | 0.7225 | 0.8500 |
|
239 |
+
| No log | 25.0667 | 376 | 0.7859 | 0.6853 | 0.7859 | 0.8865 |
|
240 |
+
| No log | 25.2 | 378 | 0.9726 | 0.6667 | 0.9726 | 0.9862 |
|
241 |
+
| No log | 25.3333 | 380 | 1.0509 | 0.6289 | 1.0509 | 1.0251 |
|
242 |
+
| No log | 25.4667 | 382 | 0.9702 | 0.6460 | 0.9702 | 0.9850 |
|
243 |
+
| No log | 25.6 | 384 | 0.8070 | 0.7105 | 0.8070 | 0.8983 |
|
244 |
+
| No log | 25.7333 | 386 | 0.6603 | 0.7383 | 0.6603 | 0.8126 |
|
245 |
+
| No log | 25.8667 | 388 | 0.6037 | 0.8077 | 0.6037 | 0.7770 |
|
246 |
+
| No log | 26.0 | 390 | 0.5967 | 0.8077 | 0.5967 | 0.7725 |
|
247 |
+
| No log | 26.1333 | 392 | 0.6240 | 0.7651 | 0.6240 | 0.7899 |
|
248 |
+
| No log | 26.2667 | 394 | 0.7088 | 0.7368 | 0.7088 | 0.8419 |
|
249 |
+
| No log | 26.4 | 396 | 0.7735 | 0.7067 | 0.7735 | 0.8795 |
|
250 |
+
| No log | 26.5333 | 398 | 0.7934 | 0.6897 | 0.7934 | 0.8907 |
|
251 |
+
| No log | 26.6667 | 400 | 0.7827 | 0.6761 | 0.7827 | 0.8847 |
|
252 |
+
| No log | 26.8 | 402 | 0.7586 | 0.6715 | 0.7586 | 0.8710 |
|
253 |
+
| No log | 26.9333 | 404 | 0.7371 | 0.6715 | 0.7371 | 0.8586 |
|
254 |
+
| No log | 27.0667 | 406 | 0.7522 | 0.7123 | 0.7522 | 0.8673 |
|
255 |
+
| No log | 27.2 | 408 | 0.7569 | 0.7297 | 0.7569 | 0.8700 |
|
256 |
+
| No log | 27.3333 | 410 | 0.7414 | 0.7211 | 0.7414 | 0.8611 |
|
257 |
+
| No log | 27.4667 | 412 | 0.7036 | 0.6950 | 0.7036 | 0.8388 |
|
258 |
+
| No log | 27.6 | 414 | 0.7033 | 0.7324 | 0.7033 | 0.8386 |
|
259 |
+
| No log | 27.7333 | 416 | 0.7222 | 0.7376 | 0.7222 | 0.8498 |
|
260 |
+
| No log | 27.8667 | 418 | 0.7633 | 0.6714 | 0.7633 | 0.8737 |
|
261 |
+
| No log | 28.0 | 420 | 0.7897 | 0.6986 | 0.7897 | 0.8887 |
|
262 |
+
| No log | 28.1333 | 422 | 0.7657 | 0.7075 | 0.7657 | 0.8750 |
|
263 |
+
| No log | 28.2667 | 424 | 0.7561 | 0.7075 | 0.7561 | 0.8695 |
|
264 |
+
| No log | 28.4 | 426 | 0.7343 | 0.7297 | 0.7343 | 0.8569 |
|
265 |
+
| No log | 28.5333 | 428 | 0.7075 | 0.7042 | 0.7075 | 0.8412 |
|
266 |
+
| No log | 28.6667 | 430 | 0.6585 | 0.6993 | 0.6585 | 0.8115 |
|
267 |
+
| No log | 28.8 | 432 | 0.6659 | 0.6993 | 0.6659 | 0.8160 |
|
268 |
+
| No log | 28.9333 | 434 | 0.7024 | 0.7042 | 0.7024 | 0.8381 |
|
269 |
+
| No log | 29.0667 | 436 | 0.7678 | 0.6714 | 0.7678 | 0.8762 |
|
270 |
+
| No log | 29.2 | 438 | 0.8246 | 0.6522 | 0.8246 | 0.9081 |
|
271 |
+
| No log | 29.3333 | 440 | 0.8350 | 0.6522 | 0.8350 | 0.9138 |
|
272 |
+
| No log | 29.4667 | 442 | 0.8172 | 0.6522 | 0.8172 | 0.9040 |
|
273 |
+
| No log | 29.6 | 444 | 0.7619 | 0.6715 | 0.7619 | 0.8729 |
|
274 |
+
| No log | 29.7333 | 446 | 0.7177 | 0.7050 | 0.7177 | 0.8472 |
|
275 |
+
| No log | 29.8667 | 448 | 0.6903 | 0.7234 | 0.6903 | 0.8308 |
|
276 |
+
| No log | 30.0 | 450 | 0.7045 | 0.6950 | 0.7045 | 0.8394 |
|
277 |
+
| No log | 30.1333 | 452 | 0.7434 | 0.6950 | 0.7434 | 0.8622 |
|
278 |
+
| No log | 30.2667 | 454 | 0.7594 | 0.6619 | 0.7594 | 0.8714 |
|
279 |
+
| No log | 30.4 | 456 | 0.7679 | 0.6522 | 0.7679 | 0.8763 |
|
280 |
+
| No log | 30.5333 | 458 | 0.8242 | 0.6667 | 0.8242 | 0.9079 |
|
281 |
+
| No log | 30.6667 | 460 | 0.9060 | 0.6835 | 0.9060 | 0.9519 |
|
282 |
+
| No log | 30.8 | 462 | 0.9288 | 0.6835 | 0.9288 | 0.9637 |
|
283 |
+
| No log | 30.9333 | 464 | 0.8376 | 0.6755 | 0.8376 | 0.9152 |
|
284 |
+
| No log | 31.0667 | 466 | 0.7359 | 0.6853 | 0.7359 | 0.8578 |
|
285 |
+
| No log | 31.2 | 468 | 0.7001 | 0.7042 | 0.7001 | 0.8367 |
|
286 |
+
| No log | 31.3333 | 470 | 0.7119 | 0.7042 | 0.7119 | 0.8438 |
|
287 |
+
| No log | 31.4667 | 472 | 0.7656 | 0.6667 | 0.7656 | 0.8750 |
|
288 |
+
| No log | 31.6 | 474 | 0.8394 | 0.6761 | 0.8394 | 0.9162 |
|
289 |
+
| No log | 31.7333 | 476 | 0.8799 | 0.6755 | 0.8799 | 0.9380 |
|
290 |
+
| No log | 31.8667 | 478 | 0.8501 | 0.6875 | 0.8501 | 0.9220 |
|
291 |
+
| No log | 32.0 | 480 | 0.7808 | 0.7037 | 0.7808 | 0.8836 |
|
292 |
+
| No log | 32.1333 | 482 | 0.6656 | 0.725 | 0.6656 | 0.8159 |
|
293 |
+
| No log | 32.2667 | 484 | 0.5850 | 0.8054 | 0.5850 | 0.7648 |
|
294 |
+
| No log | 32.4 | 486 | 0.5780 | 0.7919 | 0.5780 | 0.7603 |
|
295 |
+
| No log | 32.5333 | 488 | 0.5805 | 0.7973 | 0.5805 | 0.7619 |
|
296 |
+
| No log | 32.6667 | 490 | 0.6103 | 0.7862 | 0.6103 | 0.7812 |
|
297 |
+
| No log | 32.8 | 492 | 0.6731 | 0.7042 | 0.6731 | 0.8205 |
|
298 |
+
| No log | 32.9333 | 494 | 0.7432 | 0.6809 | 0.7432 | 0.8621 |
|
299 |
+
| No log | 33.0667 | 496 | 0.7625 | 0.6714 | 0.7625 | 0.8732 |
|
300 |
+
| No log | 33.2 | 498 | 0.7409 | 0.6714 | 0.7409 | 0.8608 |
|
301 |
+
| 0.3345 | 33.3333 | 500 | 0.7438 | 0.6761 | 0.7438 | 0.8624 |
|
302 |
+
| 0.3345 | 33.4667 | 502 | 0.7868 | 0.6667 | 0.7868 | 0.8870 |
|
303 |
+
| 0.3345 | 33.6 | 504 | 0.8910 | 0.6994 | 0.8910 | 0.9439 |
|
304 |
+
| 0.3345 | 33.7333 | 506 | 0.9460 | 0.6786 | 0.9460 | 0.9726 |
|
305 |
+
| 0.3345 | 33.8667 | 508 | 0.8945 | 0.6826 | 0.8945 | 0.9458 |
|
306 |
+
| 0.3345 | 34.0 | 510 | 0.7660 | 0.7066 | 0.7660 | 0.8752 |
|
307 |
+
| 0.3345 | 34.1333 | 512 | 0.6677 | 0.75 | 0.6677 | 0.8171 |
|
308 |
+
| 0.3345 | 34.2667 | 514 | 0.6554 | 0.7651 | 0.6554 | 0.8096 |
|
309 |
+
| 0.3345 | 34.4 | 516 | 0.6841 | 0.7 | 0.6841 | 0.8271 |
|
310 |
+
| 0.3345 | 34.5333 | 518 | 0.7448 | 0.6906 | 0.7448 | 0.8630 |
|
311 |
+
| 0.3345 | 34.6667 | 520 | 0.8404 | 0.6370 | 0.8404 | 0.9167 |
|
312 |
+
| 0.3345 | 34.8 | 522 | 0.9012 | 0.6475 | 0.9012 | 0.9493 |
|
313 |
+
| 0.3345 | 34.9333 | 524 | 0.9121 | 0.6757 | 0.9121 | 0.9550 |
|
314 |
+
| 0.3345 | 35.0667 | 526 | 0.8488 | 0.6525 | 0.8488 | 0.9213 |
|
315 |
+
| 0.3345 | 35.2 | 528 | 0.7705 | 0.6569 | 0.7705 | 0.8778 |
|
316 |
+
|
317 |
+
|
318 |
+
### Framework versions
|
319 |
+
|
320 |
+
- Transformers 4.44.2
|
321 |
+
- Pytorch 2.4.0+cu118
|
322 |
+
- Datasets 2.21.0
|
323 |
+
- 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 sha256:1a650c960b6817e9a8e070340a8dadcb0f61e35f1f4694a0796c7f61e6be3805
|
3 |
+
size 540799996
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa4bde8a7a2391c32849ae6e6a6d3b7dc281643987fc8907010176e427f4fb12
|
3 |
+
size 5304
|