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arabert_baseline_vocabulary_task7_fold1

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  1. README.md +35 -35
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_task7_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_task7_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: 0.3528
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- - Qwk: 0.6935
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- - Mse: 0.3528
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  ## Model description
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@@ -47,36 +47,36 @@ 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 | 0.3333 | 2 | 1.5791 | 0.0862 | 1.5791 |
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- | No log | 0.6667 | 4 | 0.7772 | 0.4706 | 0.7772 |
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- | No log | 1.0 | 6 | 0.7965 | 0.4532 | 0.7965 |
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- | No log | 1.3333 | 8 | 0.6398 | 0.4532 | 0.6398 |
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- | No log | 1.6667 | 10 | 0.3283 | 0.6814 | 0.3283 |
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- | No log | 2.0 | 12 | 0.3264 | 0.6814 | 0.3264 |
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- | No log | 2.3333 | 14 | 0.5269 | 0.5702 | 0.5269 |
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- | No log | 2.6667 | 16 | 0.5821 | 0.4880 | 0.5821 |
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- | No log | 3.0 | 18 | 0.5634 | 0.4918 | 0.5634 |
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- | No log | 3.3333 | 20 | 0.3969 | 0.6316 | 0.3969 |
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- | No log | 3.6667 | 22 | 0.3136 | 0.6792 | 0.3136 |
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- | No log | 4.0 | 24 | 0.3010 | 0.7265 | 0.3010 |
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- | No log | 4.3333 | 26 | 0.3722 | 0.6850 | 0.3722 |
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- | No log | 4.6667 | 28 | 0.5081 | 0.6769 | 0.5081 |
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- | No log | 5.0 | 30 | 0.5267 | 0.6788 | 0.5267 |
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- | No log | 5.3333 | 32 | 0.4329 | 0.6935 | 0.4329 |
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- | No log | 5.6667 | 34 | 0.2874 | 0.7797 | 0.2874 |
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- | No log | 6.0 | 36 | 0.2708 | 0.7797 | 0.2708 |
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- | No log | 6.3333 | 38 | 0.2866 | 0.7797 | 0.2866 |
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- | No log | 6.6667 | 40 | 0.3412 | 0.7355 | 0.3412 |
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- | No log | 7.0 | 42 | 0.4474 | 0.6935 | 0.4474 |
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- | No log | 7.3333 | 44 | 0.4536 | 0.6947 | 0.4536 |
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- | No log | 7.6667 | 46 | 0.3805 | 0.6935 | 0.3805 |
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- | No log | 8.0 | 48 | 0.3311 | 0.7355 | 0.3311 |
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- | No log | 8.3333 | 50 | 0.3056 | 0.7797 | 0.3056 |
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- | No log | 8.6667 | 52 | 0.3214 | 0.7355 | 0.3214 |
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- | No log | 9.0 | 54 | 0.3432 | 0.6935 | 0.3432 |
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- | No log | 9.3333 | 56 | 0.3493 | 0.6935 | 0.3493 |
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- | No log | 9.6667 | 58 | 0.3560 | 0.6935 | 0.3560 |
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- | No log | 10.0 | 60 | 0.3528 | 0.6935 | 0.3528 |
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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_task7_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_task7_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: 0.4434
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+ - Qwk: 0.7306
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+ - Mse: 0.4409
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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 | 0.3333 | 2 | 1.1716 | 0.2597 | 1.1767 |
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+ | No log | 0.6667 | 4 | 0.7370 | 0.5706 | 0.7641 |
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+ | No log | 1.0 | 6 | 0.7497 | 0.5562 | 0.7703 |
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+ | No log | 1.3333 | 8 | 0.6581 | 0.5987 | 0.6708 |
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+ | No log | 1.6667 | 10 | 0.6557 | 0.4 | 0.6660 |
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+ | No log | 2.0 | 12 | 0.4981 | 0.7242 | 0.5095 |
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+ | No log | 2.3333 | 14 | 0.5966 | 0.5490 | 0.6027 |
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+ | No log | 2.6667 | 16 | 0.7334 | 0.5273 | 0.7340 |
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+ | No log | 3.0 | 18 | 0.7026 | 0.5268 | 0.7001 |
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+ | No log | 3.3333 | 20 | 0.5537 | 0.6360 | 0.5517 |
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+ | No log | 3.6667 | 22 | 0.5745 | 0.6402 | 0.5704 |
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+ | No log | 4.0 | 24 | 0.6711 | 0.5418 | 0.6622 |
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+ | No log | 4.3333 | 26 | 0.6481 | 0.5418 | 0.6370 |
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+ | No log | 4.6667 | 28 | 0.5399 | 0.6015 | 0.5315 |
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+ | No log | 5.0 | 30 | 0.4583 | 0.6890 | 0.4538 |
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+ | No log | 5.3333 | 32 | 0.4300 | 0.7379 | 0.4272 |
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+ | No log | 5.6667 | 34 | 0.4490 | 0.6402 | 0.4450 |
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+ | No log | 6.0 | 36 | 0.5299 | 0.6360 | 0.5222 |
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+ | No log | 6.3333 | 38 | 0.5460 | 0.5268 | 0.5387 |
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+ | No log | 6.6667 | 40 | 0.4926 | 0.6360 | 0.4893 |
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+ | No log | 7.0 | 42 | 0.4501 | 0.6402 | 0.4494 |
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+ | No log | 7.3333 | 44 | 0.4428 | 0.7379 | 0.4421 |
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+ | No log | 7.6667 | 46 | 0.4707 | 0.6360 | 0.4684 |
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+ | No log | 8.0 | 48 | 0.4833 | 0.6360 | 0.4804 |
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+ | No log | 8.3333 | 50 | 0.5033 | 0.6360 | 0.4988 |
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+ | No log | 8.6667 | 52 | 0.5001 | 0.6360 | 0.4953 |
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+ | No log | 9.0 | 54 | 0.4748 | 0.6833 | 0.4711 |
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+ | No log | 9.3333 | 56 | 0.4541 | 0.6833 | 0.4512 |
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+ | No log | 9.6667 | 58 | 0.4462 | 0.6833 | 0.4437 |
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+ | No log | 10.0 | 60 | 0.4434 | 0.7306 | 0.4409 |
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  ### Framework versions