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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: hyeogi/SOLAR-10.7B-dpo-v1
model-index:
- name: hyeogi-finetuning
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hyeogi-finetuning
This model is a fine-tuned version of [hyeogi/SOLAR-10.7B-dpo-v1](https://huggingface.co/hyeogi/SOLAR-10.7B-dpo-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0281
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9483 | 1.0 | 84 | 0.9816 |
| 0.7375 | 2.0 | 168 | 0.9629 |
| 0.4589 | 3.0 | 252 | 1.0281 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |