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update model card README.md
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README.md
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---
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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: mBART_translator_json_sentence_split
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mBART_translator_json_sentence_split
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0769
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- Bleu: 87.2405
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- Gen Len: 27.425
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 2.0011 | 1.0 | 2978 | 0.5458 | 63.8087 | 32.3819 |
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| 1.1978 | 2.0 | 5956 | 0.1854 | 76.5291 | 27.6781 |
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| 0.9276 | 3.0 | 8934 | 0.1123 | 84.7194 | 27.5773 |
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| 0.776 | 4.0 | 11912 | 0.0845 | 87.505 | 27.2845 |
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| 0.6889 | 5.0 | 14890 | 0.0769 | 87.2405 | 27.425 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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