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arabert_cross_organization_task5_fold3

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  1. README.md +90 -42
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,20 +3,20 @@ 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: arabert_cross_organization_task5_fold3
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  results: []
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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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- # arabert_cross_organization_task5_fold3
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1056
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- - Qwk: 0.0350
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- - Mse: 1.1056
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  ## Model description
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@@ -36,49 +36,97 @@ More information needed
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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: 16
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- - eval_batch_size: 16
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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: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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- | No log | 0.0308 | 2 | 8.3515 | 0.0 | 8.3515 |
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- | No log | 0.0615 | 4 | 5.0086 | -0.0139 | 5.0086 |
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- | No log | 0.0923 | 6 | 2.6937 | 0.0170 | 2.6937 |
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- | No log | 0.1231 | 8 | 1.6399 | 0.0243 | 1.6399 |
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- | No log | 0.1538 | 10 | 1.0685 | 0.0690 | 1.0685 |
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- | No log | 0.1846 | 12 | 1.0172 | 0.1697 | 1.0172 |
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- | No log | 0.2154 | 14 | 1.0849 | -0.0187 | 1.0849 |
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- | No log | 0.2462 | 16 | 1.2307 | 0.0245 | 1.2307 |
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- | No log | 0.2769 | 18 | 1.0838 | 0.0070 | 1.0838 |
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- | No log | 0.3077 | 20 | 1.0785 | 0.0750 | 1.0785 |
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- | No log | 0.3385 | 22 | 1.1933 | 0.0 | 1.1933 |
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- | No log | 0.3692 | 24 | 1.2026 | 0.0 | 1.2026 |
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- | No log | 0.4 | 26 | 1.1640 | 0.0 | 1.1640 |
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- | No log | 0.4308 | 28 | 1.1258 | 0.0 | 1.1258 |
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- | No log | 0.4615 | 30 | 1.1029 | 0.0170 | 1.1029 |
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- | No log | 0.4923 | 32 | 1.0997 | 0.0170 | 1.0997 |
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- | No log | 0.5231 | 34 | 1.1128 | 0.0071 | 1.1128 |
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- | No log | 0.5538 | 36 | 1.1451 | 0.0 | 1.1451 |
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- | No log | 0.5846 | 38 | 1.1598 | 0.0 | 1.1598 |
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- | No log | 0.6154 | 40 | 1.1611 | 0.0 | 1.1611 |
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- | No log | 0.6462 | 42 | 1.1348 | 0.0 | 1.1348 |
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- | No log | 0.6769 | 44 | 1.1256 | 0.0 | 1.1256 |
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- | No log | 0.7077 | 46 | 1.1113 | 0.0257 | 1.1113 |
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- | No log | 0.7385 | 48 | 1.1009 | 0.0289 | 1.1009 |
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- | No log | 0.7692 | 50 | 1.0884 | 0.0614 | 1.0884 |
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- | No log | 0.8 | 52 | 1.0834 | 0.0884 | 1.0834 |
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- | No log | 0.8308 | 54 | 1.0866 | 0.0435 | 1.0866 |
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- | No log | 0.8615 | 56 | 1.0915 | 0.0614 | 1.0915 |
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- | No log | 0.8923 | 58 | 1.0983 | 0.0350 | 1.0983 |
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- | No log | 0.9231 | 60 | 1.1053 | 0.0350 | 1.1053 |
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- | No log | 0.9538 | 62 | 1.1067 | 0.0350 | 1.1067 |
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- | No log | 0.9846 | 64 | 1.1056 | 0.0350 | 1.1056 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: arabert_cross_organization_task5_fold2
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  results: []
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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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+ # arabert_cross_organization_task5_fold2
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1250
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+ - Qwk: 0.0300
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+ - Mse: 1.1225
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  ## Model description
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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: 64
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+ - eval_batch_size: 64
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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: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
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+ | No log | 0.125 | 2 | 4.8650 | -0.0023 | 4.8621 |
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+ | No log | 0.25 | 4 | 2.3813 | 0.0030 | 2.3764 |
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+ | No log | 0.375 | 6 | 0.8965 | 0.0095 | 0.8941 |
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+ | No log | 0.5 | 8 | 0.8278 | 0.0983 | 0.8251 |
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+ | No log | 0.625 | 10 | 0.8457 | 0.0276 | 0.8417 |
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+ | No log | 0.75 | 12 | 0.9196 | 0.0618 | 0.9166 |
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+ | No log | 0.875 | 14 | 1.0317 | -0.0899 | 1.0303 |
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+ | No log | 1.0 | 16 | 1.1713 | 0.0 | 1.1691 |
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+ | No log | 1.125 | 18 | 1.2251 | 0.0 | 1.2227 |
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+ | No log | 1.25 | 20 | 1.3511 | 0.0 | 1.3490 |
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+ | No log | 1.375 | 22 | 1.2633 | -0.0232 | 1.2615 |
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+ | No log | 1.5 | 24 | 1.3009 | 0.0 | 1.2985 |
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+ | No log | 1.625 | 26 | 1.1982 | 0.0182 | 1.1952 |
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+ | No log | 1.75 | 28 | 1.0708 | 0.0333 | 1.0677 |
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+ | No log | 1.875 | 30 | 1.0776 | 0.0360 | 1.0747 |
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+ | No log | 2.0 | 32 | 1.0691 | 0.0333 | 1.0663 |
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+ | No log | 2.125 | 34 | 1.0114 | 0.0253 | 1.0084 |
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+ | No log | 2.25 | 36 | 1.0232 | 0.0710 | 1.0205 |
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+ | No log | 2.375 | 38 | 1.0445 | 0.0155 | 1.0419 |
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+ | No log | 2.5 | 40 | 1.0455 | 0.0680 | 1.0427 |
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+ | No log | 2.625 | 42 | 1.1297 | 0.0680 | 1.1268 |
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+ | No log | 2.75 | 44 | 1.2353 | 0.0333 | 1.2324 |
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+ | No log | 2.875 | 46 | 1.0593 | 0.0176 | 1.0562 |
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+ | No log | 3.0 | 48 | 1.0440 | 0.0424 | 1.0409 |
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+ | No log | 3.125 | 50 | 1.1623 | 0.0360 | 1.1594 |
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+ | No log | 3.25 | 52 | 1.2841 | 0.0 | 1.2814 |
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+ | No log | 3.375 | 54 | 1.1945 | 0.0 | 1.1918 |
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+ | No log | 3.5 | 56 | 0.9910 | 0.0680 | 0.9881 |
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+ | No log | 3.625 | 58 | 1.0024 | 0.0397 | 0.9994 |
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+ | No log | 3.75 | 60 | 1.2429 | 0.0360 | 1.2400 |
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+ | No log | 3.875 | 62 | 1.4419 | 0.0226 | 1.4390 |
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+ | No log | 4.0 | 64 | 1.4478 | 0.0750 | 1.4448 |
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+ | No log | 4.125 | 66 | 1.2244 | 0.0740 | 1.2215 |
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+ | No log | 4.25 | 68 | 1.1031 | 0.0416 | 1.1002 |
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+ | No log | 4.375 | 70 | 1.1904 | 0.0710 | 1.1876 |
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+ | No log | 4.5 | 72 | 1.3453 | 0.0182 | 1.3428 |
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+ | No log | 4.625 | 74 | 1.3082 | 0.0 | 1.3057 |
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+ | No log | 4.75 | 76 | 1.1660 | 0.0565 | 1.1633 |
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+ | No log | 4.875 | 78 | 1.0042 | 0.0424 | 1.0013 |
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+ | No log | 5.0 | 80 | 0.9419 | 0.1245 | 0.9389 |
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+ | No log | 5.125 | 82 | 1.0260 | 0.0680 | 1.0232 |
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+ | No log | 5.25 | 84 | 1.1655 | 0.0388 | 1.1629 |
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+ | No log | 5.375 | 86 | 1.2867 | 0.0 | 1.2843 |
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+ | No log | 5.5 | 88 | 1.3234 | 0.0025 | 1.3209 |
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+ | No log | 5.625 | 90 | 1.2955 | 0.0182 | 1.2928 |
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+ | No log | 5.75 | 92 | 1.1588 | 0.0536 | 1.1559 |
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+ | No log | 5.875 | 94 | 1.1432 | 0.0536 | 1.1403 |
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+ | No log | 6.0 | 96 | 1.1569 | 0.0536 | 1.1542 |
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+ | No log | 6.125 | 98 | 1.0621 | 0.0536 | 1.0594 |
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+ | No log | 6.25 | 100 | 1.0340 | 0.1214 | 1.0312 |
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+ | No log | 6.375 | 102 | 1.0071 | 0.0789 | 1.0043 |
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+ | No log | 6.5 | 104 | 1.0650 | 0.0849 | 1.0622 |
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+ | No log | 6.625 | 106 | 1.1044 | 0.0536 | 1.1017 |
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+ | No log | 6.75 | 108 | 1.0963 | 0.0536 | 1.0936 |
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+ | No log | 6.875 | 110 | 1.0911 | 0.0279 | 1.0883 |
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+ | No log | 7.0 | 112 | 1.0569 | 0.0789 | 1.0542 |
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+ | No log | 7.125 | 114 | 1.0545 | 0.0789 | 1.0517 |
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+ | No log | 7.25 | 116 | 1.0799 | 0.1081 | 1.0772 |
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+ | No log | 7.375 | 118 | 1.1261 | 0.0536 | 1.1234 |
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+ | No log | 7.5 | 120 | 1.1714 | 0.0536 | 1.1688 |
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+ | No log | 7.625 | 122 | 1.1479 | 0.0508 | 1.1451 |
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+ | No log | 7.75 | 124 | 1.0979 | 0.0424 | 1.0951 |
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+ | No log | 7.875 | 126 | 1.0280 | 0.0789 | 1.0252 |
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+ | No log | 8.0 | 128 | 1.0373 | 0.0622 | 1.0347 |
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+ | No log | 8.125 | 130 | 1.0287 | 0.0650 | 1.0261 |
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+ | No log | 8.25 | 132 | 1.0350 | 0.0650 | 1.0325 |
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+ | No log | 8.375 | 134 | 1.0478 | 0.0650 | 1.0452 |
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+ | No log | 8.5 | 136 | 1.0550 | 0.0650 | 1.0524 |
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+ | No log | 8.625 | 138 | 1.0875 | 0.0880 | 1.0848 |
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+ | No log | 8.75 | 140 | 1.1279 | 0.0279 | 1.1252 |
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+ | No log | 8.875 | 142 | 1.1587 | 0.0326 | 1.1561 |
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+ | No log | 9.0 | 144 | 1.1762 | 0.0326 | 1.1736 |
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+ | No log | 9.125 | 146 | 1.1639 | 0.0326 | 1.1613 |
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+ | No log | 9.25 | 148 | 1.1345 | 0.0300 | 1.1319 |
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+ | No log | 9.375 | 150 | 1.1260 | 0.0300 | 1.1233 |
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+ | No log | 9.5 | 152 | 1.1247 | 0.0300 | 1.1221 |
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+ | No log | 9.625 | 154 | 1.1251 | 0.0300 | 1.1225 |
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+ | No log | 9.75 | 156 | 1.1248 | 0.0300 | 1.1223 |
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+ | No log | 9.875 | 158 | 1.1243 | 0.0300 | 1.1218 |
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+ | No log | 10.0 | 160 | 1.1250 | 0.0300 | 1.1225 |
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  ### Framework versions
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