---
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: 0.4427

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6943        | 0.5   | 50   | 0.6478          |
| 0.5485        | 1.0   | 100  | 0.5314          |
| 0.4163        | 1.5   | 150  | 0.5019          |
| 0.3924        | 2.0   | 200  | 0.4376          |
| 0.3311        | 2.5   | 250  | 0.4994          |
| 0.3167        | 3.0   | 300  | 0.4327          |
| 0.2694        | 3.5   | 350  | 0.4408          |
| 0.2475        | 4.0   | 400  | 0.4265          |
| 0.2271        | 4.5   | 450  | 0.4136          |
| 0.2442        | 5.0   | 500  | 0.4427          |


### Framework versions

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