tensorboard safetensors generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-lora-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-dpo-lora-1

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: 0.6542
- Rewards/chosen: 0.0641
- Rewards/rejected: -0.0250
- Rewards/accuracies: 0.6765
- Rewards/margins: 0.0891
- Logps/rejected: -222.6298
- Logps/chosen: -264.3456
- Logits/rejected: -2.1600
- Logits/chosen: -2.2261

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6768        | 0.99  | 96   | 0.6764          | 0.0306         | -0.0056          | 0.6380             | 0.0363          | -222.4367      | -264.6802    | -2.1612         | -2.2277       |
| 0.6591        | 1.99  | 193  | 0.6596          | 0.0553         | -0.0203          | 0.6775             | 0.0756          | -222.5832      | -264.4333    | -2.1606         | -2.2268       |
| 0.6511        | 2.97  | 288  | 0.6542          | 0.0641         | -0.0250          | 0.6765             | 0.0891          | -222.6298      | -264.3456    | -2.1600         | -2.2261       |


### Framework versions

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