| library_name: peft | |
| license: other | |
| base_model: openthaigpt/openthaigpt1.5-7b-instruct | |
| tags: | |
| - llama-factory | |
| - lora | |
| - generated_from_trainer | |
| model-index: | |
| - name: kto_law_7b | |
| 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. --> | |
| # kto_law_7b | |
| This model is a fine-tuned version of [openthaigpt/openthaigpt1.5-7b-instruct](https://huggingface.co/openthaigpt/openthaigpt1.5-7b-instruct) on the law_th_kto dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5288 | |
| - Rewards/chosen: 2.6834 | |
| - Logps/chosen: -142.3163 | |
| - Kl: 28.1784 | |
| ## 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: 5e-06 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 8 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 3.0 | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.44.2 | |
| - Pytorch 2.4.1+cu121 | |
| - Datasets 2.21.0 | |
| - Tokenizers 0.19.1 |