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README.md CHANGED
@@ -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 [sandernotenbaert/okai-musiclang-content-t5-small_finetune](https://huggingface.co/sandernotenbaert/okai-musiclang-content-t5-small_finetune) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5869
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  ## Model description
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@@ -49,20 +49,30 @@ No additional optimizer arguments
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 1.7839 | 0.2226 | 500 | 1.6513 |
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- | 1.6576 | 0.4452 | 1000 | 1.6615 |
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- | 1.6396 | 0.6679 | 1500 | 1.6650 |
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- | 1.7168 | 0.8905 | 2000 | 1.6315 |
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- | 1.7366 | 1.1131 | 2500 | 1.6234 |
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- | 1.7171 | 1.3357 | 3000 | 1.6028 |
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- | 1.6238 | 1.5583 | 3500 | 1.6130 |
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- | 1.6217 | 1.7810 | 4000 | 1.6218 |
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- | 1.7077 | 2.0036 | 4500 | 1.5784 |
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- | 1.7034 | 2.2262 | 5000 | 1.5792 |
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- | 1.6049 | 2.4488 | 5500 | 1.5866 |
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- | 1.6018 | 2.6714 | 6000 | 1.5869 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [sandernotenbaert/okai-musiclang-content-t5-small_finetune](https://huggingface.co/sandernotenbaert/okai-musiclang-content-t5-small_finetune) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5041
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 1.7839 | 0.2226 | 500 | 1.6513 |
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+ | 1.6576 | 0.4452 | 1000 | 1.6615 |
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+ | 1.6396 | 0.6679 | 1500 | 1.6650 |
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+ | 1.7168 | 0.8905 | 2000 | 1.6315 |
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+ | 1.7366 | 1.1131 | 2500 | 1.6234 |
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+ | 1.7171 | 1.3357 | 3000 | 1.6028 |
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+ | 1.6238 | 1.5583 | 3500 | 1.6130 |
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+ | 1.6217 | 1.7810 | 4000 | 1.6218 |
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+ | 1.7077 | 2.0036 | 4500 | 1.5784 |
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+ | 1.7034 | 2.2262 | 5000 | 1.5792 |
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+ | 1.6049 | 2.4488 | 5500 | 1.5866 |
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+ | 1.6018 | 2.6714 | 6000 | 1.5869 |
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+ | 1.6628 | 2.8941 | 6500 | 1.5628 |
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+ | 1.653 | 3.1171 | 7000 | 1.5606 |
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+ | 1.6575 | 3.3397 | 7500 | 1.5381 |
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+ | 1.64 | 3.5619 | 8000 | 1.5395 |
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+ | 1.6455 | 3.7845 | 8500 | 1.5163 |
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+ | 1.6308 | 4.0076 | 9000 | 1.5311 |
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+ | 1.6324 | 4.2302 | 9500 | 1.5118 |
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+ | 1.5481 | 4.4528 | 10000 | 1.5092 |
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+ | 1.547 | 4.6754 | 10500 | 1.5109 |
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+ | 1.5584 | 4.8981 | 11000 | 1.5041 |
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  ### Framework versions
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