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update model card README.md

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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: mt5-aym-lex
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  results: []
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  # mt5-aym-lex
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- This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
 
 
 
 
 
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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: 200000
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.28.1
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - bleu
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  model-index:
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  - name: mt5-aym-lex
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  results: []
 
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  # mt5-aym-lex
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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: 0.1844
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+ - Chrf: 24.2586
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+ - Bleu: 2.9344
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+ - Gen Len: 17.5005
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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: 20000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Chrf | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
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+ | 0.067 | 4.86 | 20000 | 0.1844 | 24.2586 | 2.9344 | 17.5005 |
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+
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  ### Framework versions
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+ - Transformers 4.29.2
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3