metadata
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: Qwen2/Qwen2-7B-Instruct
model-index:
- name: dpo_0621
results: []
dpo_0621
This model is a fine-tuned version of /root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-lora-06072000 on the dpo_data_5370_0621 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1241
- Rewards/chosen: -1.0706
- Rewards/rejected: -5.6170
- Rewards/accuracies: 0.9778
- Rewards/margins: 4.5464
- Logps/rejected: -238.9563
- Logps/chosen: -277.6737
- Logits/rejected: -1.3396
- Logits/chosen: -0.1357
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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1