---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# zephyr-7b

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: 0.3625
- Rewards/chosen: -150.6127
- Rewards/rejected: -146.3050
- Rewards/accuracies: 0.2421
- Rewards/margins: -4.3077
- Logps/rejected: -14705.8975
- Logps/chosen: -15130.1680
- Logits/rejected: 13.5362
- Logits/chosen: 13.4716
- Use Label: 11165.9844
- Pred Label: 7522.0161

## 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 | Logits/rejected | Logits/chosen | Use Label  | Pred Label |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:----------:|:----------:|
| 0.6637        | 0.1   | 100  | 0.6642          | -0.0947        | -0.1635          | 0.3254             | 0.0687          | -91.7446       | -78.3734     | -2.0927         | -2.1253       | 1838.9207  | 17.0794    |
| 0.3902        | 0.21  | 200  | 0.3930          | -14.4219       | -14.0352         | 0.2560             | -0.3866         | -1478.9202     | -1511.0870   | 2.8471          | 2.7727        | 3444.6985  | 515.3016   |
| 0.3845        | 0.31  | 300  | 0.3786          | -23.0869       | -24.5685         | 0.2520             | 1.4817          | -2532.2498     | -2377.5872   | 5.4283          | 5.3070        | 4579.4922  | 1484.5079  |
| 0.3477        | 0.42  | 400  | 0.3622          | -111.3259      | -109.5294        | 0.25               | -1.7965         | -11028.3408    | -11201.4893  | 11.6816         | 11.5716       | 5682.4922  | 2485.5081  |
| 0.3468        | 0.52  | 500  | 0.3613          | -144.7782      | -140.7408        | 0.2421             | -4.0373         | -14149.4824    | -14546.7158  | 13.8885         | 13.8347       | 6784.2383  | 3487.7620  |
| 0.33          | 0.63  | 600  | 0.3605          | -143.0167      | -138.8336        | 0.2401             | -4.1831         | -13958.7627    | -14370.5693  | 12.5943         | 12.5399       | 7857.4287  | 4518.5713  |
| 0.3665        | 0.73  | 700  | 0.3614          | -150.1877      | -145.8865        | 0.2421             | -4.3011         | -14664.0518    | -15087.6680  | 13.4024         | 13.3367       | 8936.4287  | 5543.5713  |
| 0.3731        | 0.84  | 800  | 0.3623          | -150.4385      | -146.1303        | 0.2401             | -4.3082         | -14688.4258    | -15112.7539  | 13.5339         | 13.4696       | 10050.3330 | 6533.6665  |
| 0.3696        | 0.94  | 900  | 0.3625          | -150.6127      | -146.3050        | 0.2421             | -4.3077         | -14705.8975    | -15130.1680  | 13.5362         | 13.4716       | 11165.9844 | 7522.0161  |


### Framework versions

- PEFT 0.7.1
- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2