transformers tensorboard safetensors mistral text-generation generated_from_trainer conversational base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora
  results: []
---

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# zephyr-7b-dpo-lora

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: 0.5272
- Rewards/chosen: -0.1409
- Rewards/rejected: -0.8819
- Rewards/accuracies: 0.7340
- Rewards/margins: 0.7410
- Logps/rejected: -232.4720
- Logps/chosen: -265.9766
- Logits/rejected: -1.9804
- Logits/chosen: -2.0345

## 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: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5654        | 1.0   | 968  | 0.5545          | -0.0993        | -0.6333          | 0.7160             | 0.5339          | -229.9861      | -265.5612    | -2.0257         | -2.0790       |
| 0.5587        | 2.0   | 1936 | 0.5326          | -0.1409        | -0.8429          | 0.7295             | 0.7021          | -232.0825      | -265.9764    | -1.9888         | -2.0427       |
| 0.5194        | 3.0   | 2904 | 0.5272          | -0.1409        | -0.8819          | 0.7340             | 0.7410          | -232.4720      | -265.9766    | -1.9804         | -2.0345       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
