zephyr-7b-dpo-qlora-fsdp
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.6843
- Rewards/chosen: 0.0234
- Rewards/rejected: 0.0034
- Rewards/accuracies: 0.6211
- Rewards/margins: 0.0199
- Logps/rejected: -260.8430
- Logps/chosen: -258.9067
- Logits/rejected: -2.4164
- Logits/chosen: -2.4494
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: 15
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 480
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 0.1
Training results
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
- Downloads last month
- 6
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for imelnyk/zephyr-7b-dpo-qlora-fsdp
Base model
mistralai/Mistral-7B-v0.1