---
library_name: peft
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-beta-009-3000
  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. -->

# zephyr-7b-beta-009-3000

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3982

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0228        | 0.8658 | 100  | 1.0526          |
| 0.8533        | 1.7273 | 200  | 0.8571          |
| 0.7221        | 2.5887 | 300  | 0.7287          |
| 0.5558        | 3.4502 | 400  | 0.6356          |
| 0.5201        | 4.3117 | 500  | 0.5765          |
| 0.4312        | 5.1732 | 600  | 0.5131          |
| 0.3982        | 6.0346 | 700  | 0.4702          |
| 0.3737        | 6.9004 | 800  | 0.4441          |
| 0.3465        | 7.7619 | 900  | 0.4242          |
| 0.3485        | 8.6234 | 1000 | 0.4079          |
| 0.2942        | 9.4848 | 1100 | 0.3982          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1