WebSquareAI-finetuning
This model is a fine-tuned version of kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6374
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6412 | 1.0 | 84 | 0.6449 |
| 0.497 | 2.0 | 168 | 0.6082 |
| 0.3357 | 3.0 | 252 | 0.6374 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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