---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3
  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. -->

# ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3

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: 3.2700

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.566         | 2.5   | 5    | 1.3026          |
| 1.1359        | 5.0   | 10   | 1.2779          |
| 0.9114        | 7.5   | 15   | 1.3987          |
| 0.5972        | 10.0  | 20   | 1.4944          |
| 0.2936        | 12.5  | 25   | 1.8476          |
| 0.1104        | 15.0  | 30   | 2.1923          |
| 0.0311        | 17.5  | 35   | 2.5907          |
| 0.0168        | 20.0  | 40   | 2.7176          |
| 0.0132        | 22.5  | 45   | 2.8310          |
| 0.0115        | 25.0  | 50   | 2.9147          |
| 0.0106        | 27.5  | 55   | 3.0155          |
| 0.0103        | 30.0  | 60   | 3.1027          |
| 0.0101        | 32.5  | 65   | 3.1541          |
| 0.0099        | 35.0  | 70   | 3.1883          |
| 0.0097        | 37.5  | 75   | 3.2104          |
| 0.0095        | 40.0  | 80   | 3.2204          |
| 0.0094        | 42.5  | 85   | 3.2407          |
| 0.0095        | 45.0  | 90   | 3.2554          |
| 0.0093        | 47.5  | 95   | 3.2661          |
| 0.0094        | 50.0  | 100  | 3.2700          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2