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--- |
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license: apache-2.0 |
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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: EleutherAI/polyglot-ko-1.3b |
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model-index: |
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- name: pretrain_wo-cot_w-asd |
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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 |
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This model is a fine-tuned version of [EleutherAI/polyglot-ko-1.3b](https://huggingface.co/EleutherAI/polyglot-ko-1.3b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 9.5465 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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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| 11.1865 | 0.1290 | 1 | 11.1164 | |
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| 11.1109 | 0.2581 | 2 | 11.0354 | |
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| 11.0508 | 0.3871 | 3 | 10.9345 | |
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| 10.9774 | 0.5161 | 4 | 10.8247 | |
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| 10.8372 | 0.6452 | 5 | 10.7115 | |
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| 10.742 | 0.7742 | 6 | 10.5983 | |
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| 10.6067 | 0.9032 | 7 | 10.4797 | |
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| 10.5182 | 1.0323 | 8 | 10.3694 | |
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| 10.3704 | 1.1613 | 9 | 10.2614 | |
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| 10.2903 | 1.2903 | 10 | 10.1587 | |
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| 10.1627 | 1.4194 | 11 | 10.0626 | |
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| 10.1078 | 1.5484 | 12 | 9.9744 | |
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| 10.0265 | 1.6774 | 13 | 9.8932 | |
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| 9.9159 | 1.8065 | 14 | 9.8200 | |
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| 9.8432 | 1.9355 | 15 | 9.7532 | |
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| 9.7643 | 2.0645 | 16 | 9.6953 | |
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| 9.7308 | 2.1935 | 17 | 9.6462 | |
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| 9.6923 | 2.3226 | 18 | 9.6069 | |
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| 9.6348 | 2.4516 | 19 | 9.5776 | |
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| 9.5869 | 2.5806 | 20 | 9.5566 | |
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| 9.6044 | 2.7097 | 21 | 9.5465 | |
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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 |
