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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 [
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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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### Framework versions
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- Transformers 4.
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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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### Training results
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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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### 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
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