library_name: peft | |
license: other | |
base_model: 01-ai/Yi-1.5-9B-Chat | |
tags: | |
- llama-factory | |
- lora | |
- generated_from_trainer | |
model-index: | |
- name: yi-1-5-9b_eqa_lora_sft | |
results: [] | |
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should probably proofread and complete it, then remove this comment. --> | |
# yi-1-5-9b_eqa_lora_sft | |
This model is a fine-tuned version of [01-ai/Yi-1.5-9B-Chat](https://huggingface.co/01-ai/Yi-1.5-9B-Chat) on the energy_qa_alpaca dataset. | |
## 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: 0.0001 | |
- train_batch_size: 1 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- gradient_accumulation_steps: 8 | |
- total_train_batch_size: 8 | |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
- lr_scheduler_type: cosine | |
- lr_scheduler_warmup_ratio: 0.1 | |
- num_epochs: 1.0 | |
### Training results | |
### Framework versions | |
- PEFT 0.15.2 | |
- Transformers 4.52.4 | |
- Pytorch 2.7.0+cu126 | |
- Datasets 3.6.0 | |
- Tokenizers 0.21.1 |