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--- |
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base_model: eenzeenee/t5-small-korean-summarization |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: FingerFriend-t5-small |
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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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# FingerFriend-t5-small |
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This model is a fine-tuned version of [eenzeenee/t5-small-korean-summarization](https://huggingface.co/eenzeenee/t5-small-korean-summarization) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6002 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4509 | 1.0 | 342 | 0.7916 | |
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| 0.8917 | 2.0 | 684 | 0.7062 | |
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| 0.7846 | 3.0 | 1026 | 0.6640 | |
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| 0.72 | 4.0 | 1368 | 0.6334 | |
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| 0.6804 | 5.0 | 1710 | 0.6100 | |
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| 0.6387 | 6.0 | 2052 | 0.6002 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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