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: -7.5416
- Rewards/chosen: -29.9194
- Rewards/rejected: -39.8539
- Rewards/accuracies: 0.6151
- Rewards/margins: 9.9345
- Logps/rejected: -633.4722
- Logps/chosen: -588.9970
- Logits/rejected: -1.0751
- Logits/chosen: -1.2630
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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| -0.2007 | 1.0 | 969 | -0.0988 | -1.1416 | -2.4993 | 0.6746 | 1.3577 | -259.9262 | -301.2188 | -1.9876 | -2.0976 |
| -2.3739 | 2.0 | 1938 | -3.0140 | -12.9185 | -17.8885 | 0.6587 | 4.9699 | -413.8172 | -418.9880 | -1.4397 | -1.5909 |
| -5.7169 | 3.0 | 2907 | -7.5416 | -29.9194 | -39.8539 | 0.6151 | 9.9345 | -633.4722 | -588.9970 | -1.0751 | -1.2630 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1