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End of training

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  1. README.md +13 -13
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0819
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  ## Model description
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@@ -46,18 +46,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 141 | 0.0685 |
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- | No log | 2.0 | 282 | 0.0672 |
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- | No log | 3.0 | 423 | 0.0389 |
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- | 0.0659 | 4.0 | 564 | 0.0253 |
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- | 0.0659 | 5.0 | 705 | 0.0569 |
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- | 0.0659 | 6.0 | 846 | 0.0522 |
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- | 0.0659 | 7.0 | 987 | 0.0364 |
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- | 0.001 | 8.0 | 1128 | 0.0821 |
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- | 0.001 | 9.0 | 1269 | 0.0836 |
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- | 0.001 | 10.0 | 1410 | 0.0788 |
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- | 0.0001 | 11.0 | 1551 | 0.0818 |
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- | 0.0001 | 12.0 | 1692 | 0.0819 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [SI2M-Lab/DarijaBERT](https://huggingface.co/SI2M-Lab/DarijaBERT) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0247
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 141 | 0.0312 |
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+ | No log | 2.0 | 282 | 0.0781 |
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+ | No log | 3.0 | 423 | 0.0229 |
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+ | 0.1308 | 4.0 | 564 | 0.0187 |
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+ | 0.1308 | 5.0 | 705 | 0.0208 |
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+ | 0.1308 | 6.0 | 846 | 0.0261 |
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+ | 0.1308 | 7.0 | 987 | 0.0242 |
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+ | 0.0008 | 8.0 | 1128 | 0.0244 |
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+ | 0.0008 | 9.0 | 1269 | 0.0247 |
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+ | 0.0008 | 10.0 | 1410 | 0.0247 |
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+ | 0.0005 | 11.0 | 1551 | 0.0247 |
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+ | 0.0005 | 12.0 | 1692 | 0.0247 |
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  ### Framework versions