library_name: transformers | |
license: other | |
base_model: Qwen/Qwen2.5-7B-Instruct | |
tags: | |
- llama-factory | |
- full | |
- generated_from_trainer | |
model-index: | |
- name: simpo_trained_1 | |
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. --> | |
# simpo_trained_1 | |
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the lightblue_orpo_data 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: 1e-06 | |
- train_batch_size: 1 | |
- eval_batch_size: 1 | |
- seed: 42 | |
- distributed_type: multi-GPU | |
- num_devices: 8 | |
- gradient_accumulation_steps: 16 | |
- total_train_batch_size: 128 | |
- total_eval_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 | |
- Transformers 4.46.1 | |
- Pytorch 2.4.0+cu121 | |
- Datasets 3.1.0 | |
- Tokenizers 0.20.3 | |