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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_2
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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_2
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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: 0.1203
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- Bleu: 77.8658
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- Gen Len: 36.1527
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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: 2e-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: 10
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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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| 1.7858 | 1.0 | 1912 | 0.6568 | 55.2937 | 75.6389 |
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| 0.994 | 2.0 | 3824 | 0.4015 | 71.3655 | 35.744 |
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| 0.7267 | 3.0 | 5736 | 0.2971 | 66.7522 | 34.5473 |
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| 0.5916 | 4.0 | 7648 | 0.2437 | 80.0233 | 37.4331 |
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| 0.502 | 5.0 | 9560 | 0.2072 | 80.9632 | 36.9833 |
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| 0.433 | 6.0 | 11472 | 0.1767 | 69.9384 | 36.6381 |
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| 0.3581 | 7.0 | 13384 | 0.1566 | 64.615 | 34.8954 |
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| 0.3244 | 8.0 | 15296 | 0.1382 | 77.5563 | 36.1736 |
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| 0.2815 | 9.0 | 17208 | 0.1259 | 76.1662 | 36.1548 |
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| 0.2555 | 10.0 | 19120 | 0.1203 | 77.8658 | 36.1527 |
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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 2.5.2
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- Tokenizers 0.13.1
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