---
base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: ROE_Patent_Breeze7B_V1
  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. -->

# ROE_Patent_Breeze7B_V1

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: 0.7530

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 11
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.9896        | 0.9697  | 12   | 0.9971          |
| 0.9038        | 1.9394  | 24   | 0.9124          |
| 0.812         | 2.9899  | 37   | 0.8596          |
| 0.8009        | 3.9596  | 49   | 0.8248          |
| 0.7401        | 4.9293  | 61   | 0.8017          |
| 0.6997        | 5.9798  | 74   | 0.7835          |
| 0.6831        | 6.9495  | 86   | 0.7715          |
| 0.656         | 8.0     | 99   | 0.7635          |
| 0.6389        | 8.9697  | 111  | 0.7558          |
| 0.6094        | 9.9394  | 123  | 0.7550          |
| 0.5967        | 10.6667 | 132  | 0.7530          |


### Framework versions

- PEFT 0.13.3.dev0
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1