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update model card README.md
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README.md
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---
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license: mit
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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_kobart_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_kobart_2
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This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0971
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- Bleu: 34.7406
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- Gen Len: 19.863
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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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| 0.7514 | 1.0 | 1912 | 0.3009 | 33.1304 | 19.8465 |
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| 0.4925 | 2.0 | 3824 | 0.2213 | 33.7817 | 19.8541 |
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| 0.3893 | 3.0 | 5736 | 0.1789 | 34.1249 | 19.8577 |
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| 0.3328 | 4.0 | 7648 | 0.1555 | 34.3074 | 19.8598 |
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| 0.2896 | 5.0 | 9560 | 0.1375 | 34.4127 | 19.8585 |
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| 0.2614 | 6.0 | 11472 | 0.1240 | 34.5061 | 19.8604 |
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| 0.2292 | 7.0 | 13384 | 0.1116 | 34.6476 | 19.8632 |
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| 0.2098 | 8.0 | 15296 | 0.1050 | 34.6956 | 19.863 |
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| 0.1967 | 9.0 | 17208 | 0.0995 | 34.7304 | 19.863 |
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| 0.1812 | 10.0 | 19120 | 0.0971 | 34.7406 | 19.863 |
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### Framework versions
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- Transformers 4.23.0
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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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