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

# NXAIR_M

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: 0.4843

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8314        | 0.77  | 250  | 0.5800          |
| 0.5538        | 1.55  | 500  | 0.3466          |
| 0.4055        | 2.32  | 750  | 0.3881          |
| 0.2974        | 3.1   | 1000 | 0.4570          |
| 0.3618        | 3.87  | 1250 | 0.4268          |
| 0.31          | 4.64  | 1500 | 0.4043          |
| 0.2542        | 5.42  | 1750 | 0.4843          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1