---
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5273

## 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: 0.00025
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1126        | 0.38  | 50   | 0.9045          |
| 0.781         | 0.76  | 100  | 0.7953          |
| 0.6092        | 1.14  | 150  | 0.6737          |
| 0.5484        | 1.52  | 200  | 0.6842          |
| 0.5078        | 1.89  | 250  | 0.5686          |
| 0.3905        | 2.27  | 300  | 0.6194          |
| 0.4328        | 2.65  | 350  | 0.5543          |
| 0.3872        | 3.03  | 400  | 0.5406          |
| 0.3147        | 3.41  | 450  | 0.5504          |
| 0.3327        | 3.79  | 500  | 0.5473          |
| 0.2734        | 4.17  | 550  | 0.5514          |
| 0.2972        | 4.55  | 600  | 0.5327          |
| 0.2974        | 4.92  | 650  | 0.5273          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0