zephyr-7b-dpo-lora-timedial
This model is a fine-tuned version of EllieS/zephyr-7b-sft-lora-timedial on the EllieS/timedial_dpo dataset. It achieves the following results on the evaluation set:
- Loss: 0.0056
- Rewards/chosen: -0.5375
- Rewards/rejected: -5.7320
- Rewards/accuracies: 1.0
- Rewards/margins: 5.1945
- Logps/rejected: -611.0701
- Logps/chosen: -80.2486
- Logits/rejected: -2.2508
- Logits/chosen: -2.4113
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- 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
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
- Downloads last month
- 5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for EllieS/zephyr-7b-dpo-lora-timedial
Base model
mistralai/Mistral-7B-v0.1 Finetuned
alignment-handbook/zephyr-7b-sft-full