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Cathaysa
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mbart-neutralization

Text2Text Generation
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Safetensors
mbart
simplification
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Cathaysa commited on
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Training complete

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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. runs/Feb17_19-28-42_4d11c1b9d68b/events.out.tfevents.1708198282.4d11c1b9d68b.249.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0181
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- - Bleu: 98.7341
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- - Gen Len: 18.4896
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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- | No log | 1.0 | 440 | 0.0307 | 91.2911 | 18.25 |
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- | 0.2343 | 2.0 | 880 | 0.0181 | 98.7341 | 18.4896 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8061
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+ - Bleu: 63.7292
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+ - Gen Len: 26.9254
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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+ | No log | 1.0 | 34 | 2.0386 | 64.2529 | 27.4478 |
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+ | No log | 2.0 | 68 | 1.8061 | 63.7292 | 26.9254 |
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  ### Framework versions
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