---
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-0.07
  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-0.07

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: 0.4934
- Rewards/chosen: -1.1822
- Rewards/rejected: -2.0719
- Rewards/accuracies: 0.75
- Rewards/margins: 0.8897
- Logps/rejected: -434.9780
- Logps/chosen: -340.5889
- Logits/rejected: -1.9202
- Logits/chosen: -2.0197

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5521        | 0.2060 | 100  | 0.5258          | -0.8611        | -1.4030          | 0.6953             | 0.5419          | -368.0812      | -308.4762    | -2.4729         | -2.5388       |
| 0.5086        | 0.4119 | 200  | 0.5115          | -1.1790        | -1.8930          | 0.75               | 0.7140          | -417.0868      | -340.2655    | -2.1594         | -2.2382       |
| 0.49          | 0.6179 | 300  | 0.5050          | -1.0454        | -1.8769          | 0.7422             | 0.8316          | -415.4766      | -326.9024    | -2.0191         | -2.1080       |
| 0.4855        | 0.8239 | 400  | 0.4962          | -1.1394        | -2.0028          | 0.75               | 0.8634          | -428.0682      | -336.3091    | -1.9714         | -2.0677       |


### Framework versions

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