---
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_V2
  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_V2

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: 1.0290

## 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: 18
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.2509        | 0.9697  | 12   | 1.2524          |
| 1.1785        | 1.9394  | 24   | 1.1963          |
| 1.0903        | 2.9899  | 37   | 1.1486          |
| 1.0958        | 3.9596  | 49   | 1.1173          |
| 1.0397        | 4.9293  | 61   | 1.0942          |
| 0.9761        | 5.9798  | 74   | 1.0738          |
| 0.9634        | 6.9495  | 86   | 1.0573          |
| 0.9075        | 8.0     | 99   | 1.0463          |
| 0.9133        | 8.9697  | 111  | 1.0375          |
| 0.8696        | 9.9394  | 123  | 1.0337          |
| 0.8935        | 10.9899 | 136  | 1.0294          |
| 0.8618        | 11.9596 | 148  | 1.0261          |
| 0.826         | 12.9293 | 160  | 1.0235          |
| 0.8184        | 13.9798 | 173  | 1.0226          |
| 0.7991        | 14.9495 | 185  | 1.0289          |
| 0.7906        | 16.0    | 198  | 1.0220          |
| 0.7722        | 16.9697 | 210  | 1.0245          |
| 0.7722        | 17.4545 | 216  | 1.0290          |


### Framework versions

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