metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora
results: []
zephyr-7b-dpo-lora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5254
- Rewards/chosen: -0.1284
- Rewards/rejected: -0.9165
- Rewards/accuracies: 0.7400
- Rewards/margins: 0.7881
- Logps/rejected: -229.5277
- Logps/chosen: -266.8034
- Logits/rejected: -2.8774
- Logits/chosen: -2.9668
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- total_eval_batch_size: 2
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.545 | 1.0 | 968 | 0.5543 | -0.0951 | -0.6704 | 0.7270 | 0.5752 | -227.0664 | -266.4709 | -2.8955 | -2.9826 |
| 0.5144 | 2.0 | 1936 | 0.5310 | -0.1339 | -0.8883 | 0.7360 | 0.7544 | -229.2458 | -266.8581 | -2.8813 | -2.9701 |
| 0.518 | 3.0 | 2904 | 0.5254 | -0.1284 | -0.9165 | 0.7400 | 0.7881 | -229.5277 | -266.8034 | -2.8774 | -2.9668 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0