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# zephyr-7b-dpo-qlora

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0136
- Rewards/chosen: -376.5464
- Rewards/rejected: -330.4243
- Rewards/accuracies: 0.4544
- Rewards/margins: -46.1221
- Logps/rejected: -33295.5859
- Logps/chosen: -37927.6367
- Neglected: 256.0
- Selected: 0.0

## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- 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: 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 | Neglected | Selected |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------:|:--------:|
| 0.6727        | 0.1   | 100  | 0.6631          | 0.0074         | -0.0332          | 0.7024             | 0.0405          | -256.4745      | -272.2623    | 256.0     | 0.0      |
| 0.0392        | 0.21  | 200  | 0.0276          | -119.9914      | -105.4188        | 0.4464             | -14.5726        | -10795.0420    | -12272.1426  | 256.0     | 0.0      |
| 0.0208        | 0.31  | 300  | 0.0199          | -281.3865      | -245.2151        | 0.4444             | -36.1714        | -24774.6660    | -28411.6465  | 256.0     | 0.0      |
| 0.0157        | 0.42  | 400  | 0.0161          | -353.7562      | -307.1862        | 0.4563             | -46.5699        | -30971.7832    | -35648.6172  | 256.0     | 0.0      |
| 0.0182        | 0.52  | 500  | 0.0148          | -331.5956      | -289.6645        | 0.4464             | -41.9311        | -29219.6113    | -33432.5625  | 256.0     | 0.0      |
| 0.013         | 0.63  | 600  | 0.0143          | -356.6841      | -312.4188        | 0.4544             | -44.2654        | -31495.0312    | -35941.4141  | 256.0     | 0.0      |
| 0.0165        | 0.73  | 700  | 0.0143          | -353.6940      | -310.5345        | 0.4504             | -43.1595        | -31306.6094    | -35642.4023  | 256.0     | 0.0      |
| 0.0145        | 0.84  | 800  | 0.0135          | -374.0797      | -328.2772        | 0.4544             | -45.8026        | -33080.8789    | -37680.9766  | 256.0     | 0.0      |
| 0.0195        | 0.94  | 900  | 0.0137          | -376.5184      | -330.4032        | 0.4544             | -46.1152        | -33293.4727    | -37924.8398  | 256.0     | 0.0      |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora", "results": []}]}
tensorboard safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us