---
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-align-scan-0.0-0.9-polynomial-3
  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-align-scan-0.0-0.9-polynomial-3

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9404
- Rewards/chosen: 1.5621
- Rewards/rejected: 0.3036
- Rewards/accuracies: 0.3294
- Rewards/margins: 1.2585
- Logps/rejected: -80.8042
- Logps/chosen: -72.8236
- Logits/rejected: -2.5182
- Logits/chosen: -2.5344

## 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: 4.135505422578228e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5697        | 1.0417 | 100  | 0.7314          | 0.9086         | 0.2746           | 0.3433             | 0.6340          | -80.8352       | -73.5212     | -2.5080         | -2.5235       |
| 0.3568        | 2.0833 | 200  | 0.9404          | 1.5621         | 0.3036           | 0.3294             | 1.2585          | -80.8042       | -72.8236     | -2.5182         | -2.5344       |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1