---
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: 0.6570

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0381        | 0.17  | 50   | 1.1373          |
| 0.7645        | 0.35  | 100  | 1.0030          |
| 0.7008        | 0.52  | 150  | 0.8769          |
| 0.6463        | 0.69  | 200  | 0.8396          |
| 0.6139        | 0.87  | 250  | 0.7906          |
| 0.6415        | 1.04  | 300  | 0.7021          |
| 0.5952        | 1.22  | 350  | 0.6840          |
| 0.5802        | 1.39  | 400  | 0.7160          |
| 0.6116        | 1.56  | 450  | 0.6585          |
| 0.5921        | 1.74  | 500  | 0.6428          |
| 0.5532        | 1.91  | 550  | 0.6181          |
| 0.4655        | 2.08  | 600  | 0.6465          |
| 0.4249        | 2.26  | 650  | 0.6487          |
| 0.4441        | 2.43  | 700  | 0.6431          |
| 0.4652        | 2.6   | 750  | 0.6256          |
| 0.4325        | 2.78  | 800  | 0.6412          |
| 0.4728        | 2.95  | 850  | 0.6173          |
| 0.3161        | 3.12  | 900  | 0.6945          |
| 0.3375        | 3.3   | 950  | 0.6501          |
| 0.3509        | 3.47  | 1000 | 0.6561          |
| 0.3519        | 3.65  | 1050 | 0.6765          |
| 0.3379        | 3.82  | 1100 | 0.6570          |


### Framework versions

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