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: 0.5655
- Rewards/chosen: -0.0745
- Rewards/rejected: -0.5329
- Rewards/accuracies: 0.7000
- Rewards/margins: 0.4583
- Logps/rejected: -224.6270
- Logps/chosen: -265.4236
- Logits/rejected: -2.0002
- Logits/chosen: -2.1215

## 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
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6125        | 1.0   | 242  | 0.6057          | 0.0079         | -0.2400          | 0.6760             | 0.2479          | -221.6983      | -264.5998    | -2.0242         | -2.1445       |
| 0.5849        | 2.0   | 484  | 0.5731          | -0.0578        | -0.4714          | 0.6900             | 0.4136          | -224.0123      | -265.2563    | -2.0071         | -2.1279       |
| 0.5671        | 3.0   | 726  | 0.5655          | -0.0745        | -0.5329          | 0.7000             | 0.4583          | -224.6270      | -265.4236    | -2.0002         | -2.1215       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
