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--- |
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license: cc-by-nc-nd-4.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: kakaobrain/kogpt |
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model-index: |
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- name: pretrain_wo-cot_w-asd_gpt |
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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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# pretrain_wo-cot_w-asd_gpt |
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This model is a fine-tuned version of [kakaobrain/kogpt](https://huggingface.co/kakaobrain/kogpt) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.2695 |
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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: 3e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 9.3854 | 0.1290 | 1 | 10.0019 | |
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| 9.2319 | 0.2581 | 2 | 9.7577 | |
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| 8.9195 | 0.3871 | 3 | 9.4655 | |
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| 8.7866 | 0.5161 | 4 | 9.1438 | |
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| 8.4714 | 0.6452 | 5 | 9.1438 | |
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| 8.548 | 0.7742 | 6 | 8.8258 | |
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| 8.1645 | 0.9032 | 7 | 8.5218 | |
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| 7.9288 | 1.0323 | 8 | 8.1624 | |
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| 7.4999 | 1.1613 | 9 | 7.8294 | |
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| 7.0631 | 1.2903 | 10 | 7.5127 | |
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| 6.9252 | 1.4194 | 11 | 7.1942 | |
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| 6.7075 | 1.5484 | 12 | 6.8620 | |
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| 6.4293 | 1.6774 | 13 | 6.5825 | |
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| 6.1982 | 1.8065 | 14 | 6.2854 | |
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| 5.9671 | 1.9355 | 15 | 6.0680 | |
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| 5.5963 | 2.0645 | 16 | 5.8336 | |
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| 5.4335 | 2.1935 | 17 | 5.6719 | |
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| 5.3723 | 2.3226 | 18 | 5.5392 | |
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| 5.3661 | 2.4516 | 19 | 5.4076 | |
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| 5.0969 | 2.5806 | 20 | 5.3410 | |
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| 5.0227 | 2.7097 | 21 | 5.2695 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
