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update model card README.md

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@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [alvations/mt5-aym-lex](https://huggingface.co/alvations/mt5-aym-lex) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1883
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- - Chrf: 24.4605
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  - Bleu: 3.1238
 
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  - Gen Len: 17.3872
 
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  ## Model description
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@@ -45,14 +45,14 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 40000
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  ### Training results
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  | Training Loss | Epoch | Step | Bleu | Chrf | Gen Len | Validation Loss |
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  |:-------------:|:-----:|:-----:|:------:|:-------:|:-------:|:---------------:|
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  | 0.067 | 4.86 | 20000 | 2.9344 | 24.2586 | 17.5005 | 0.1844 |
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- | 0.065 | 9.71 | 40000 | 0.1883 | 24.4605 | 3.1238 | 17.3872 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [alvations/mt5-aym-lex](https://huggingface.co/alvations/mt5-aym-lex) on the None dataset.
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  It achieves the following results on the evaluation set:
 
 
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  - Bleu: 3.1238
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+ - Chrf: 24.4605
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  - Gen Len: 17.3872
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+ - Loss: 0.1883
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Bleu | Chrf | Gen Len | Validation Loss |
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  |:-------------:|:-----:|:-----:|:------:|:-------:|:-------:|:---------------:|
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  | 0.067 | 4.86 | 20000 | 2.9344 | 24.2586 | 17.5005 | 0.1844 |
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+ | 0.065 | 9.71 | 40000 | 3.1238 | 24.4605 | 17.3872 | 0.1883 |
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  ### Framework versions