---
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: 0.6670

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7604        | 0.35  | 100  | 0.9897          |
| 0.6403        | 0.69  | 200  | 0.8543          |
| 0.6267        | 1.04  | 300  | 0.7156          |
| 0.5962        | 1.39  | 400  | 0.7106          |
| 0.5715        | 1.74  | 500  | 0.6555          |
| 0.4264        | 2.08  | 600  | 0.6715          |
| 0.4729        | 2.43  | 700  | 0.6421          |
| 0.4342        | 2.78  | 800  | 0.6459          |
| 0.3264        | 3.12  | 900  | 0.6558          |
| 0.3497        | 3.47  | 1000 | 0.6695          |
| 0.3517        | 3.82  | 1100 | 0.6312          |
| 0.3116        | 4.17  | 1200 | 0.6810          |
| 0.3324        | 4.51  | 1300 | 0.7153          |
| 0.3497        | 4.86  | 1400 | 0.6670          |


### Framework versions

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