---
library_name: transformers
license: mit
base_model: HuggingFaceH4/mistral-7b-sft-beta
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr0-7b-ultra-p-0.05
  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. -->

# zephyr0-7b-ultra-p-0.05

This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5029
- Rewards/chosen: -1.1300
- Rewards/rejected: -1.9954
- Rewards/accuracies: 0.75
- Rewards/margins: 0.8654
- Logps/rejected: -427.3289
- Logps/chosen: -335.3676
- Logits/rejected: -1.9689
- Logits/chosen: -2.0651

## 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: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- 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: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5625        | 0.2060 | 100  | 0.5413          | -1.0460        | -1.5393          | 0.6875             | 0.4932          | -381.7129      | -326.9707    | -2.4726         | -2.5375       |
| 0.5145        | 0.4119 | 200  | 0.5226          | -1.0460        | -1.7939          | 0.7656             | 0.7479          | -407.1714      | -326.9680    | -2.1622         | -2.2436       |
| 0.4948        | 0.6179 | 300  | 0.5165          | -0.9692        | -1.7757          | 0.75               | 0.8064          | -405.3522      | -319.2909    | -2.0477         | -2.1379       |
| 0.4931        | 0.8239 | 400  | 0.5051          | -1.0779        | -1.9119          | 0.75               | 0.8340          | -418.9738      | -330.1579    | -2.0159         | -2.1084       |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0