| --- |
| license: cc-by-4.0 |
| base_model: paust/pko-t5-large |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: t5-large-finetuned-multi |
| results: [] |
| widget: |
| - text: "내일 용인에서 상차하고 다시 용인에서 하차하는 화물 추천해줘" |
| example_title: "화물추천" |
| - text: "내일 오후 우면동 날씨" |
| example_title: "날씨예보" |
| - text: "전기충전소 안내해줘" |
| example_title: "장소안내" |
| - text: "경부고속도로 상황 알려줘" |
| example_title: "일상대화" |
| - text: "하차 담당자에게 문의해줘" |
| example_title: "전화연결" |
| - text: "진행해줘" |
| example_title: "긍부정" |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # t5-large-finetuned-multi |
|
|
| This model is a fine-tuned version of [paust/pko-t5-large](https://huggingface.co/paust/pko-t5-large) on the None dataset. |
|
|
| ## 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: |
| - learning_rate: 0.0007 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.06 |
| - num_epochs: 8 |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
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