metadata
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: ENERGY-DRINK-LOVE/SOLAR_merge2
model-index:
- name: lora_SOLAR_merge2_SFT-DPO
results: []
lora_SOLAR_merge2_SFT-DPO
This model is a fine-tuned version of ENERGY-DRINK-LOVE/SOLAR_merge2 on an unknown 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-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- total_eval_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1