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--- |
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license: mit |
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base_model: gogamza/kobart-base-v2 |
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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: Jeolla_model |
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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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# Jeolla_model |
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This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0117 |
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- Bleu: 88.9408 |
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- Gen Len: 14.085 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 3 |
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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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| 0.015 | 1.0 | 15477 | 0.0136 | 88.803 | 14.0811 | |
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| 0.0111 | 2.0 | 30954 | 0.0122 | 88.8626 | 14.0804 | |
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| 0.0094 | 3.0 | 46431 | 0.0117 | 88.9408 | 14.085 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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