zephyr-7b-dpo-full
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.8483
- Rewards/chosen: 0.7019
- Rewards/rejected: -1.3716
- Rewards/accuracies: 0.6786
- Rewards/margins: 2.0734
- Logps/rejected: -263.1501
- Logps/chosen: -283.4079
- Logits/rejected: -2.6313
- Logits/chosen: -2.6617
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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.9481 | 0.42 | 200 | 0.9533 | -0.6644 | -2.6641 | 0.7163 | 1.9997 | -264.4427 | -284.7741 | -2.6754 | -2.7043 |
| 1.0499 | 0.84 | 400 | 0.8542 | 0.5163 | -1.5982 | 0.6766 | 2.1145 | -263.3767 | -283.5935 | -2.6278 | -2.6586 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.