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arabert_cross_organization_task2_fold2

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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_task2_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_task2_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: 1.0758
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- - Qwk: 0.0
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- - Mse: 1.0758
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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 | 8.3740 | 0.0 | 8.3740 |
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- | No log | 0.0615 | 4 | 4.7446 | 0.0161 | 4.7446 |
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- | No log | 0.0923 | 6 | 2.6774 | 0.0177 | 2.6774 |
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- | No log | 0.1231 | 8 | 1.4120 | 0.0131 | 1.4120 |
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- | No log | 0.1538 | 10 | 1.7092 | -0.0120 | 1.7092 |
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- | No log | 0.1846 | 12 | 1.3665 | 0.0054 | 1.3665 |
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- | No log | 0.2154 | 14 | 1.0759 | 0.1112 | 1.0759 |
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- | No log | 0.2462 | 16 | 1.2114 | 0.0 | 1.2114 |
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- | No log | 0.2769 | 18 | 1.5000 | 0.0 | 1.5000 |
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- | No log | 0.3077 | 20 | 1.6098 | 0.0 | 1.6098 |
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- | No log | 0.3385 | 22 | 1.4495 | 0.0 | 1.4495 |
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- | No log | 0.3692 | 24 | 1.2766 | 0.0 | 1.2766 |
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- | No log | 0.4 | 26 | 1.2224 | -0.0033 | 1.2224 |
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- | No log | 0.4308 | 28 | 1.0772 | -0.0176 | 1.0772 |
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- | No log | 0.4615 | 30 | 1.0315 | 0.0036 | 1.0315 |
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- | No log | 0.4923 | 32 | 1.0166 | 0.0289 | 1.0166 |
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- | No log | 0.5231 | 34 | 1.0241 | 0.0257 | 1.0241 |
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- | No log | 0.5538 | 36 | 1.0480 | 0.0 | 1.0480 |
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- | No log | 0.5846 | 38 | 1.0513 | 0.0 | 1.0513 |
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- | No log | 0.6154 | 40 | 1.0547 | 0.0 | 1.0547 |
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- | No log | 0.6462 | 42 | 1.0567 | 0.0 | 1.0567 |
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- | No log | 0.6769 | 44 | 1.0737 | 0.0 | 1.0737 |
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- | No log | 0.7077 | 46 | 1.0790 | 0.0 | 1.0790 |
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- | No log | 0.7385 | 48 | 1.0689 | 0.0 | 1.0689 |
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- | No log | 0.7692 | 50 | 1.0607 | 0.0 | 1.0607 |
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- | No log | 0.8 | 52 | 1.0499 | 0.0 | 1.0499 |
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- | No log | 0.8308 | 54 | 1.0498 | 0.0 | 1.0498 |
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- | No log | 0.8615 | 56 | 1.0574 | 0.0 | 1.0574 |
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- | No log | 0.8923 | 58 | 1.0625 | 0.0 | 1.0625 |
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- | No log | 0.9231 | 60 | 1.0696 | 0.0 | 1.0696 |
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- | No log | 0.9538 | 62 | 1.0731 | 0.0 | 1.0731 |
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- | No log | 0.9846 | 64 | 1.0758 | 0.0 | 1.0758 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_fold1
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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_fold1
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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: 0.9665
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+ - Qwk: 0.1843
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+ - Mse: 0.9638
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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 | 4.9621 | 0.0014 | 4.9593 |
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+ | No log | 0.25 | 4 | 2.1315 | -0.0199 | 2.1286 |
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+ | No log | 0.375 | 6 | 0.9548 | 0.0027 | 0.9513 |
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+ | No log | 0.5 | 8 | 0.8530 | 0.0678 | 0.8507 |
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+ | No log | 0.625 | 10 | 0.7928 | 0.1306 | 0.7900 |
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+ | No log | 0.75 | 12 | 0.7710 | 0.1552 | 0.7682 |
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+ | No log | 0.875 | 14 | 0.8786 | -0.0670 | 0.8766 |
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+ | No log | 1.0 | 16 | 0.9254 | -0.0565 | 0.9242 |
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+ | No log | 1.125 | 18 | 1.0088 | -0.0232 | 1.0068 |
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+ | No log | 1.25 | 20 | 0.8151 | 0.1520 | 0.8123 |
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+ | No log | 1.375 | 22 | 0.7943 | 0.0808 | 0.7913 |
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+ | No log | 1.5 | 24 | 0.8986 | 0.0767 | 0.8958 |
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+ | No log | 1.625 | 26 | 0.9046 | 0.0935 | 0.9018 |
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+ | No log | 1.75 | 28 | 0.8005 | 0.0962 | 0.7975 |
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+ | No log | 1.875 | 30 | 0.8246 | 0.1261 | 0.8217 |
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+ | No log | 2.0 | 32 | 1.0455 | 0.0565 | 1.0427 |
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+ | No log | 2.125 | 34 | 1.0848 | 0.0536 | 1.0819 |
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+ | No log | 2.25 | 36 | 0.8432 | 0.1284 | 0.8401 |
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+ | No log | 2.375 | 38 | 0.8148 | 0.1252 | 0.8116 |
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+ | No log | 2.5 | 40 | 0.9950 | 0.0565 | 0.9919 |
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+ | No log | 2.625 | 42 | 1.3659 | 0.0 | 1.3632 |
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+ | No log | 2.75 | 44 | 1.3473 | 0.0 | 1.3447 |
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+ | No log | 2.875 | 46 | 1.0770 | 0.0536 | 1.0742 |
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+ | No log | 3.0 | 48 | 0.9980 | 0.1016 | 0.9952 |
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+ | No log | 3.125 | 50 | 1.2032 | 0.0 | 1.2005 |
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+ | No log | 3.25 | 52 | 1.5241 | 0.0 | 1.5217 |
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+ | No log | 3.375 | 54 | 1.5210 | 0.0231 | 1.5187 |
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+ | No log | 3.5 | 56 | 1.3342 | 0.0 | 1.3319 |
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+ | No log | 3.625 | 58 | 1.1036 | 0.0 | 1.1011 |
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+ | No log | 3.75 | 60 | 1.0121 | 0.0536 | 1.0095 |
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+ | No log | 3.875 | 62 | 1.1441 | 0.0 | 1.1415 |
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+ | No log | 4.0 | 64 | 1.3639 | 0.0 | 1.3614 |
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+ | No log | 4.125 | 66 | 1.3735 | 0.0025 | 1.3709 |
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+ | No log | 4.25 | 68 | 1.0825 | 0.0 | 1.0799 |
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+ | No log | 4.375 | 70 | 0.9120 | 0.1641 | 0.9093 |
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+ | No log | 4.5 | 72 | 0.9506 | 0.1277 | 0.9480 |
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+ | No log | 4.625 | 74 | 1.1517 | 0.0 | 1.1492 |
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+ | No log | 4.75 | 76 | 1.2276 | 0.0 | 1.2251 |
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+ | No log | 4.875 | 78 | 1.1183 | 0.0 | 1.1159 |
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+ | No log | 5.0 | 80 | 1.0068 | 0.0333 | 1.0043 |
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+ | No log | 5.125 | 82 | 1.0353 | 0.0360 | 1.0328 |
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+ | No log | 5.25 | 84 | 1.2149 | 0.0025 | 1.2124 |
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+ | No log | 5.375 | 86 | 1.3871 | -0.0077 | 1.3847 |
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+ | No log | 5.5 | 88 | 1.3159 | -0.0052 | 1.3135 |
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+ | No log | 5.625 | 90 | 1.1412 | 0.0600 | 1.1386 |
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+ | No log | 5.75 | 92 | 1.1161 | 0.0755 | 1.1135 |
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+ | No log | 5.875 | 94 | 1.0471 | 0.1059 | 1.0444 |
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+ | No log | 6.0 | 96 | 0.9768 | 0.1096 | 0.9740 |
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+ | No log | 6.125 | 98 | 0.8671 | 0.2312 | 0.8642 |
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+ | No log | 6.25 | 100 | 0.8025 | 0.1206 | 0.7994 |
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+ | No log | 6.375 | 102 | 0.8027 | 0.1414 | 0.7995 |
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+ | No log | 6.5 | 104 | 0.8550 | 0.1743 | 0.8519 |
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+ | No log | 6.625 | 106 | 0.9815 | 0.0889 | 0.9787 |
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+ | No log | 6.75 | 108 | 1.0738 | 0.0846 | 1.0710 |
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+ | No log | 6.875 | 110 | 1.1903 | 0.1144 | 1.1876 |
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+ | No log | 7.0 | 112 | 1.2101 | 0.1122 | 1.2074 |
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+ | No log | 7.125 | 114 | 1.2463 | 0.0812 | 1.2436 |
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+ | No log | 7.25 | 116 | 1.3137 | 0.0117 | 1.3110 |
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+ | No log | 7.375 | 118 | 1.3237 | -0.0052 | 1.3210 |
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+ | No log | 7.5 | 120 | 1.2538 | 0.0649 | 1.2512 |
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+ | No log | 7.625 | 122 | 1.2188 | 0.1004 | 1.2162 |
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+ | No log | 7.75 | 124 | 1.1146 | 0.1281 | 1.1120 |
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+ | No log | 7.875 | 126 | 1.0332 | 0.1480 | 1.0306 |
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+ | No log | 8.0 | 128 | 0.9680 | 0.1644 | 0.9653 |
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+ | No log | 8.125 | 130 | 0.9608 | 0.1792 | 0.9581 |
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+ | No log | 8.25 | 132 | 0.9993 | 0.1681 | 0.9966 |
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+ | No log | 8.375 | 134 | 1.0373 | 0.0889 | 1.0347 |
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+ | No log | 8.5 | 136 | 1.0747 | 0.1177 | 1.0721 |
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+ | No log | 8.625 | 138 | 1.0865 | 0.1030 | 1.0839 |
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+ | No log | 8.75 | 140 | 1.0732 | 0.1486 | 1.0707 |
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+ | No log | 8.875 | 142 | 1.0424 | 0.1505 | 1.0398 |
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+ | No log | 9.0 | 144 | 1.0425 | 0.1505 | 1.0399 |
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+ | No log | 9.125 | 146 | 1.0220 | 0.1587 | 1.0194 |
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+ | No log | 9.25 | 148 | 1.0055 | 0.2009 | 1.0029 |
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+ | No log | 9.375 | 150 | 0.9949 | 0.1941 | 0.9923 |
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+ | No log | 9.5 | 152 | 0.9725 | 0.1875 | 0.9698 |
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+ | No log | 9.625 | 154 | 0.9600 | 0.2145 | 0.9574 |
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+ | No log | 9.75 | 156 | 0.9593 | 0.2145 | 0.9566 |
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+ | No log | 9.875 | 158 | 0.9660 | 0.1843 | 0.9634 |
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+ | No log | 10.0 | 160 | 0.9665 | 0.1843 | 0.9638 |
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  ### Framework versions
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