metadata
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora
results: []
zephyr-7b-dpo-lora
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3553
- Rewards/chosen: -0.8622
- Rewards/rejected: -3.1235
- Rewards/accuracies: 0.8281
- Rewards/margins: 2.2613
- Logps/rejected: -204.2707
- Logps/chosen: -282.4587
- Logits/rejected: -2.6699
- Logits/chosen: -2.7156
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: 2e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.2024 | 1.0 | 485 | 0.4197 | -0.3974 | -1.8930 | 0.8086 | 1.4956 | -191.9660 | -277.8107 | -2.7272 | -2.7680 |
| 0.1305 | 2.0 | 970 | 0.3694 | -0.7584 | -2.8597 | 0.8242 | 2.1013 | -201.6330 | -281.4208 | -2.6866 | -2.7306 |
| 0.109 | 3.0 | 1455 | 0.3553 | -0.8622 | -3.1235 | 0.8281 | 2.2613 | -204.2707 | -282.4587 | -2.6699 | -2.7156 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1