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README.md
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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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- 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:
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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 |
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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
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