---
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
  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-dpo-full

This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rewards/chosen: nan
- Rewards/rejected: nan
- Rewards/accuracies: 0.0
- Rewards/margins: nan
- Logps/rejected: nan
- Logps/chosen: nan
- Logits/rejected: nan
- Logits/chosen: nan

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:----------------------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 2.2447                       | 0.21  | 100  | 12.7411         | -0.2846        | -0.6839          | 0.75               | 0.3993          | -325.7448      | -285.5041    | -2.6597         | -2.6718       |
| 47203409439012392271872.0000 | 0.42  | 200  | inf             | -1.4346        | -1.9265          | 0.6992             | 0.4919          | -450.0038      | -400.4987    | -2.2364         | -2.2814       |
| 0.0                          | 0.63  | 300  | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |
| 0.0                          | 0.84  | 400  | nan             | nan            | nan              | 0.0                | nan             | nan            | nan          | nan             | nan           |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1