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arabert_baseline_vocabulary_task8_fold1

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  1. README.md +25 -25
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_baseline_vocabulary_task8_fold0
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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_baseline_vocabulary_task8_fold0
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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: 0.3519
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- - Qwk: 0.7059
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- - Mse: 0.3519
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  ## Model description
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@@ -47,26 +47,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.5 | 2 | 2.4116 | 0.0 | 2.4116 |
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- | No log | 1.0 | 4 | 1.3953 | 0.1860 | 1.3953 |
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- | No log | 1.5 | 6 | 0.6553 | 0.5772 | 0.6553 |
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- | No log | 2.0 | 8 | 0.5969 | 0.5977 | 0.5969 |
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- | No log | 2.5 | 10 | 0.4486 | 0.7059 | 0.4486 |
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- | No log | 3.0 | 12 | 0.2418 | 0.8011 | 0.2418 |
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- | No log | 3.5 | 14 | 0.3669 | 0.7059 | 0.3669 |
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- | No log | 4.0 | 16 | 0.7921 | 0.5459 | 0.7921 |
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- | No log | 4.5 | 18 | 0.5441 | 0.6277 | 0.5441 |
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- | No log | 5.0 | 20 | 0.3384 | 0.7168 | 0.3384 |
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- | No log | 5.5 | 22 | 0.3399 | 0.7572 | 0.3399 |
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- | No log | 6.0 | 24 | 0.3927 | 0.6939 | 0.3927 |
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- | No log | 6.5 | 26 | 0.5647 | 0.6277 | 0.5647 |
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- | No log | 7.0 | 28 | 0.5237 | 0.6356 | 0.5237 |
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- | No log | 7.5 | 30 | 0.3655 | 0.7794 | 0.3655 |
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- | No log | 8.0 | 32 | 0.2983 | 0.7794 | 0.2983 |
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- | No log | 8.5 | 34 | 0.3016 | 0.7794 | 0.3016 |
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- | No log | 9.0 | 36 | 0.3254 | 0.7794 | 0.3254 |
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- | No log | 9.5 | 38 | 0.3414 | 0.7667 | 0.3414 |
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- | No log | 10.0 | 40 | 0.3519 | 0.7059 | 0.3519 |
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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_baseline_vocabulary_task8_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_baseline_vocabulary_task8_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: 0.2316
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+ - Qwk: 0.8078
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+ - Mse: 0.2316
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.5 | 2 | 1.2852 | 0.2500 | 1.2852 |
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+ | No log | 1.0 | 4 | 0.9284 | 0.5172 | 0.9284 |
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+ | No log | 1.5 | 6 | 0.5474 | 0.6196 | 0.5474 |
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+ | No log | 2.0 | 8 | 0.4192 | 0.6172 | 0.4192 |
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+ | No log | 2.5 | 10 | 0.3456 | 0.7627 | 0.3456 |
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+ | No log | 3.0 | 12 | 0.3051 | 0.832 | 0.3051 |
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+ | No log | 3.5 | 14 | 0.2935 | 0.7850 | 0.2935 |
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+ | No log | 4.0 | 16 | 0.2662 | 0.8078 | 0.2662 |
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+ | No log | 4.5 | 18 | 0.2641 | 0.832 | 0.2641 |
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+ | No log | 5.0 | 20 | 0.2554 | 0.7956 | 0.2554 |
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+ | No log | 5.5 | 22 | 0.2536 | 0.7956 | 0.2536 |
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+ | No log | 6.0 | 24 | 0.2384 | 0.7956 | 0.2384 |
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+ | No log | 6.5 | 26 | 0.2490 | 0.7956 | 0.2490 |
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+ | No log | 7.0 | 28 | 0.2542 | 0.7956 | 0.2542 |
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+ | No log | 7.5 | 30 | 0.2514 | 0.8269 | 0.2514 |
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+ | No log | 8.0 | 32 | 0.2475 | 0.8409 | 0.2475 |
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+ | No log | 8.5 | 34 | 0.2401 | 0.8078 | 0.2401 |
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+ | No log | 9.0 | 36 | 0.2365 | 0.8078 | 0.2365 |
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+ | No log | 9.5 | 38 | 0.2330 | 0.8078 | 0.2330 |
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+ | No log | 10.0 | 40 | 0.2316 | 0.8078 | 0.2316 |
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  ### Framework versions