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--- |
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license: cc-by-nc-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: kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34 |
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model-index: |
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- name: WebSquareAI-finetuning |
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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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# WebSquareAI-finetuning |
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This model is a fine-tuned version of [kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34](https://huggingface.co/kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6374 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: cosine |
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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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| 0.6412 | 1.0 | 84 | 0.6449 | |
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| 0.497 | 2.0 | 168 | 0.6082 | |
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| 0.3357 | 3.0 | 252 | 0.6374 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
