---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0
model-index:
- name: Experiment-QA-Breeze-7B-Instruct-v1_0
  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. -->

# Experiment-QA-Breeze-7B-Instruct-v1_0

This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7361

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3943        | 1.0   | 27   | 1.9839          |
| 1.9857        | 2.0   | 54   | 1.8182          |
| 1.8169        | 3.0   | 81   | 1.7600          |
| 1.6758        | 4.0   | 108  | 1.7318          |
| 1.636         | 5.0   | 135  | 1.7330          |
| 1.5205        | 6.0   | 162  | 1.7361          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0