---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-sft-safe-hhrlhf
  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-safe-hhrlhf

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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1996

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4854        | 0.06  | 25   | 1.4540          |
| 1.43          | 0.12  | 50   | 1.4291          |
| 1.4188        | 0.18  | 75   | 1.4451          |
| 1.4465        | 0.25  | 100  | 1.4565          |
| 1.4499        | 0.31  | 125  | 1.4525          |
| 1.4387        | 0.37  | 150  | 1.4409          |
| 1.4368        | 0.43  | 175  | 1.4226          |
| 1.4095        | 0.49  | 200  | 1.4227          |
| 1.4065        | 0.55  | 225  | 1.4044          |
| 1.3747        | 0.62  | 250  | 1.3881          |
| 1.3847        | 0.68  | 275  | 1.3720          |
| 1.3526        | 0.74  | 300  | 1.3581          |
| 1.3072        | 0.8   | 325  | 1.3410          |
| 1.3146        | 0.86  | 350  | 1.3239          |
| 1.2783        | 0.92  | 375  | 1.3106          |
| 1.2773        | 0.99  | 400  | 1.2896          |
| 0.7303        | 1.05  | 425  | 1.3327          |
| 0.6911        | 1.11  | 450  | 1.3081          |
| 0.7044        | 1.17  | 475  | 1.3012          |
| 0.6597        | 1.23  | 500  | 1.2845          |
| 0.6717        | 1.29  | 525  | 1.2701          |
| 0.6538        | 1.35  | 550  | 1.2666          |
| 0.6484        | 1.42  | 575  | 1.2481          |
| 0.633         | 1.48  | 600  | 1.2404          |
| 0.6252        | 1.54  | 625  | 1.2332          |
| 0.6423        | 1.6   | 650  | 1.2212          |
| 0.6182        | 1.66  | 675  | 1.2115          |
| 0.6218        | 1.72  | 700  | 1.2099          |
| 0.6293        | 1.79  | 725  | 1.2038          |
| 0.5978        | 1.85  | 750  | 1.2014          |
| 0.6176        | 1.91  | 775  | 1.1995          |
| 0.6475        | 1.97  | 800  | 1.1996          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2