library_name, base_model, tags, model-index
| library_name | base_model | tags | model-index | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | wh-zhu/qwen2_1.5B-ultrachatfeedback-dpo |
|
|
qwen2_7B-ultrachatfeedback-self-wspo-full_E1-adapter
This model is a fine-tuned version of wh-zhu/qwen2_1.5B-ultrachatfeedback-dpo on the ultrafeedback 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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.45.0
- Pytorch 2.11.0+cu130
- Datasets 2.21.0
- Tokenizers 0.20.3