---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-dpo-full
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-sft-lora
  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. -->

# zephyr-7b-sft-lora

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-dpo-full](https://huggingface.co/alignment-handbook/zephyr-7b-dpo-full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7803

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0318        | 0.32  | 10   | 1.7803          |


### Framework versions

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