---
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- SeniorKabanocci/oasst1-binarized
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-oasst1
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/jan-majkutewicz/huggingface/runs/vp4emkhb)
# zephyr-7b-oasst1

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the SeniorKabanocci/oasst1-binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6547
- Rewards/chosen: -0.2776
- Rewards/rejected: -0.3797
- Rewards/accuracies: 0.5913
- Rewards/margins: 0.1021
- Logps/rejected: -229.8175
- Logps/chosen: -250.2433
- Logits/rejected: -2.9022
- Logits/chosen: -2.9328

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results



### Framework versions

- PEFT 0.10.0
- Transformers 4.42.3
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1