dpo_0622_policy2
This model is a fine-tuned version of /root/LLM_Data_Engineer/LLaMA-Factory/models/Qwen2-7B-Instruct-sft-0622-iter1-policy2 on the dpo_data_5370_0621 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0645
- Rewards/chosen: 1.6397
- Rewards/rejected: -2.7117
- Rewards/accuracies: 1.0
- Rewards/margins: 4.3514
- Logps/rejected: -212.6626
- Logps/chosen: -291.2645
- Logits/rejected: -1.2750
- Logits/chosen: -0.2107
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
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