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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: pretrained-asd_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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# pretrained-asd_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: 3.5349 |
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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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| 10.3358 | 0.1290 | 1 | 10.3445 | |
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| 9.6433 | 0.2581 | 2 | 9.6464 | |
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| 8.9317 | 0.3871 | 3 | 8.9778 | |
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| 8.4529 | 0.5161 | 4 | 8.3759 | |
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| 7.8797 | 0.6452 | 5 | 8.3759 | |
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| 7.9183 | 0.7742 | 6 | 7.7919 | |
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| 7.3288 | 0.9032 | 7 | 7.2000 | |
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| 6.8404 | 1.0323 | 8 | 6.6658 | |
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| 6.1929 | 1.1613 | 9 | 6.1626 | |
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| 5.7018 | 1.2903 | 10 | 5.6848 | |
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| 5.3948 | 1.4194 | 11 | 5.2752 | |
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| 4.9769 | 1.5484 | 12 | 4.9355 | |
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| 4.7513 | 1.6774 | 13 | 4.6277 | |
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| 4.5139 | 1.8065 | 14 | 4.3709 | |
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| 4.1545 | 1.9355 | 15 | 4.1658 | |
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| 3.895 | 2.0645 | 16 | 3.9919 | |
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| 3.6844 | 2.1935 | 17 | 3.8500 | |
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| 3.6875 | 2.3226 | 18 | 3.7336 | |
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| 3.6514 | 2.4516 | 19 | 3.6427 | |
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| 3.4645 | 2.5806 | 20 | 3.5779 | |
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| 3.3493 | 2.7097 | 21 | 3.5349 | |
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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 |
