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arabert_cross_organization_task2_fold4

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  1. README.md +83 -38
  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_task2_fold4
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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_task2_fold4
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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: 0.4307
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- - Qwk: 0.7666
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- - Mse: 0.4307
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  ## Model description
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@@ -36,47 +36,92 @@ 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 | 0.0328 | 2 | 1.6123 | 0.0347 | 1.6123 |
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- | No log | 0.0656 | 4 | 1.2169 | 0.1664 | 1.2169 |
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- | No log | 0.0984 | 6 | 0.8550 | 0.4233 | 0.8550 |
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- | No log | 0.1311 | 8 | 0.7076 | 0.4952 | 0.7076 |
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- | No log | 0.1639 | 10 | 0.6094 | 0.6275 | 0.6094 |
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- | No log | 0.1967 | 12 | 0.5775 | 0.6907 | 0.5775 |
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- | No log | 0.2295 | 14 | 0.5541 | 0.6657 | 0.5541 |
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- | No log | 0.2623 | 16 | 0.5383 | 0.6982 | 0.5383 |
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- | No log | 0.2951 | 18 | 0.5548 | 0.7367 | 0.5548 |
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- | No log | 0.3279 | 20 | 0.5030 | 0.6621 | 0.5030 |
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- | No log | 0.3607 | 22 | 0.6167 | 0.5358 | 0.6167 |
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- | No log | 0.3934 | 24 | 0.5748 | 0.5360 | 0.5748 |
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- | No log | 0.4262 | 26 | 0.4959 | 0.5970 | 0.4959 |
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- | No log | 0.4590 | 28 | 0.4879 | 0.6321 | 0.4879 |
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- | No log | 0.4918 | 30 | 0.4869 | 0.7208 | 0.4869 |
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- | No log | 0.5246 | 32 | 0.4871 | 0.7640 | 0.4871 |
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- | No log | 0.5574 | 34 | 0.4481 | 0.7657 | 0.4481 |
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- | No log | 0.5902 | 36 | 0.4231 | 0.7095 | 0.4231 |
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- | No log | 0.6230 | 38 | 0.4214 | 0.7017 | 0.4214 |
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- | No log | 0.6557 | 40 | 0.4200 | 0.7051 | 0.4200 |
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- | No log | 0.6885 | 42 | 0.4138 | 0.7108 | 0.4138 |
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- | No log | 0.7213 | 44 | 0.4109 | 0.7167 | 0.4109 |
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- | No log | 0.7541 | 46 | 0.4100 | 0.7404 | 0.4100 |
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- | No log | 0.7869 | 48 | 0.4222 | 0.7591 | 0.4222 |
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- | No log | 0.8197 | 50 | 0.4308 | 0.7692 | 0.4308 |
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- | No log | 0.8525 | 52 | 0.4437 | 0.7746 | 0.4437 |
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- | No log | 0.8852 | 54 | 0.4409 | 0.7746 | 0.4409 |
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- | No log | 0.9180 | 56 | 0.4400 | 0.7746 | 0.4400 |
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- | No log | 0.9508 | 58 | 0.4349 | 0.7711 | 0.4349 |
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- | No log | 0.9836 | 60 | 0.4307 | 0.7666 | 0.4307 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_task2_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_task2_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: 0.5676
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+ - Qwk: 0.8167
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+ - Mse: 0.5676
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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 | 0.1333 | 2 | 1.8692 | 0.1353 | 1.8692 |
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+ | No log | 0.2667 | 4 | 1.4213 | 0.1397 | 1.4213 |
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+ | No log | 0.4 | 6 | 1.4691 | 0.3731 | 1.4691 |
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+ | No log | 0.5333 | 8 | 1.1350 | 0.5085 | 1.1350 |
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+ | No log | 0.6667 | 10 | 1.0589 | 0.4468 | 1.0589 |
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+ | No log | 0.8 | 12 | 0.6836 | 0.7114 | 0.6836 |
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+ | No log | 0.9333 | 14 | 0.7934 | 0.7564 | 0.7934 |
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+ | No log | 1.0667 | 16 | 0.6366 | 0.7754 | 0.6366 |
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+ | No log | 1.2 | 18 | 0.6294 | 0.6090 | 0.6294 |
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+ | No log | 1.3333 | 20 | 0.5984 | 0.6582 | 0.5984 |
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+ | No log | 1.4667 | 22 | 0.6612 | 0.7573 | 0.6612 |
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+ | No log | 1.6 | 24 | 0.6149 | 0.7707 | 0.6149 |
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+ | No log | 1.7333 | 26 | 0.5768 | 0.7921 | 0.5768 |
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+ | No log | 1.8667 | 28 | 0.5478 | 0.7836 | 0.5478 |
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+ | No log | 2.0 | 30 | 0.6323 | 0.7873 | 0.6323 |
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+ | No log | 2.1333 | 32 | 0.7541 | 0.7799 | 0.7541 |
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+ | No log | 2.2667 | 34 | 0.5899 | 0.7730 | 0.5899 |
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+ | No log | 2.4 | 36 | 0.5646 | 0.7204 | 0.5646 |
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+ | No log | 2.5333 | 38 | 0.5812 | 0.7665 | 0.5812 |
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+ | No log | 2.6667 | 40 | 0.7559 | 0.7804 | 0.7559 |
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+ | No log | 2.8 | 42 | 0.6782 | 0.7852 | 0.6782 |
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+ | No log | 2.9333 | 44 | 0.5336 | 0.7721 | 0.5336 |
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+ | No log | 3.0667 | 46 | 0.5156 | 0.7461 | 0.5156 |
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+ | No log | 3.2 | 48 | 0.5374 | 0.7842 | 0.5374 |
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+ | No log | 3.3333 | 50 | 0.6264 | 0.7999 | 0.6264 |
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+ | No log | 3.4667 | 52 | 0.8571 | 0.7933 | 0.8571 |
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+ | No log | 3.6 | 54 | 0.7545 | 0.8124 | 0.7545 |
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+ | No log | 3.7333 | 56 | 0.5238 | 0.7922 | 0.5238 |
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+ | No log | 3.8667 | 58 | 0.4796 | 0.7536 | 0.4796 |
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+ | No log | 4.0 | 60 | 0.4953 | 0.7964 | 0.4953 |
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+ | No log | 4.1333 | 62 | 0.6345 | 0.7733 | 0.6345 |
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+ | No log | 4.2667 | 64 | 0.7544 | 0.7901 | 0.7544 |
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+ | No log | 4.4 | 66 | 0.6943 | 0.7949 | 0.6943 |
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+ | No log | 4.5333 | 68 | 0.5528 | 0.8088 | 0.5528 |
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+ | No log | 4.6667 | 70 | 0.4774 | 0.7978 | 0.4774 |
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+ | No log | 4.8 | 72 | 0.5067 | 0.7997 | 0.5067 |
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+ | No log | 4.9333 | 74 | 0.6779 | 0.8166 | 0.6779 |
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+ | No log | 5.0667 | 76 | 0.7490 | 0.8085 | 0.7490 |
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+ | No log | 5.2 | 78 | 0.6112 | 0.8038 | 0.6112 |
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+ | No log | 5.3333 | 80 | 0.5181 | 0.7860 | 0.5181 |
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+ | No log | 5.4667 | 82 | 0.5173 | 0.7861 | 0.5173 |
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+ | No log | 5.6 | 84 | 0.5810 | 0.8108 | 0.5810 |
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+ | No log | 5.7333 | 86 | 0.6378 | 0.8013 | 0.6378 |
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+ | No log | 5.8667 | 88 | 0.7117 | 0.8099 | 0.7117 |
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+ | No log | 6.0 | 90 | 0.6295 | 0.8118 | 0.6295 |
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+ | No log | 6.1333 | 92 | 0.5548 | 0.8052 | 0.5548 |
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+ | No log | 6.2667 | 94 | 0.5066 | 0.7699 | 0.5066 |
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+ | No log | 6.4 | 96 | 0.5174 | 0.7849 | 0.5174 |
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+ | No log | 6.5333 | 98 | 0.6036 | 0.8042 | 0.6036 |
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+ | No log | 6.6667 | 100 | 0.7393 | 0.8146 | 0.7393 |
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+ | No log | 6.8 | 102 | 0.7344 | 0.8098 | 0.7344 |
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+ | No log | 6.9333 | 104 | 0.6184 | 0.8121 | 0.6184 |
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+ | No log | 7.0667 | 106 | 0.5416 | 0.7974 | 0.5416 |
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+ | No log | 7.2 | 108 | 0.5343 | 0.7929 | 0.5343 |
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+ | No log | 7.3333 | 110 | 0.5632 | 0.8094 | 0.5632 |
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+ | No log | 7.4667 | 112 | 0.5781 | 0.8097 | 0.5781 |
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+ | No log | 7.6 | 114 | 0.6404 | 0.8068 | 0.6404 |
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+ | No log | 7.7333 | 116 | 0.6828 | 0.8187 | 0.6828 |
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+ | No log | 7.8667 | 118 | 0.6504 | 0.8045 | 0.6504 |
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+ | No log | 8.0 | 120 | 0.5838 | 0.8057 | 0.5838 |
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+ | No log | 8.1333 | 122 | 0.5378 | 0.8062 | 0.5378 |
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+ | No log | 8.2667 | 124 | 0.5466 | 0.8079 | 0.5466 |
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+ | No log | 8.4 | 126 | 0.5939 | 0.8052 | 0.5939 |
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+ | No log | 8.5333 | 128 | 0.6680 | 0.8023 | 0.6680 |
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+ | No log | 8.6667 | 130 | 0.6894 | 0.8051 | 0.6894 |
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+ | No log | 8.8 | 132 | 0.6689 | 0.8044 | 0.6689 |
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+ | No log | 8.9333 | 134 | 0.6450 | 0.8040 | 0.6450 |
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+ | No log | 9.0667 | 136 | 0.5946 | 0.8173 | 0.5946 |
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+ | No log | 9.2 | 138 | 0.5617 | 0.8132 | 0.5617 |
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+ | No log | 9.3333 | 140 | 0.5493 | 0.8151 | 0.5493 |
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+ | No log | 9.4667 | 142 | 0.5410 | 0.8105 | 0.5410 |
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+ | No log | 9.6 | 144 | 0.5422 | 0.8142 | 0.5422 |
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+ | No log | 9.7333 | 146 | 0.5512 | 0.8086 | 0.5512 |
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+ | No log | 9.8667 | 148 | 0.5620 | 0.8148 | 0.5620 |
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+ | No log | 10.0 | 150 | 0.5676 | 0.8167 | 0.5676 |
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  ### Framework versions
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