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ROE_Patent_Breeze7B_20250124_Type1
allen0909/ROE_Patent_Breeze7B_20250124_Type1
ROE_Patent_Breeze7B_20250124_Type1 is a machine learning model from allen0909. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 24, 2025
- Updated
- Jan 24, 2025
- SHA
- 45d70719
Base models
Model card
From the Hugging Face model README
<!-- 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_20250124_Type1
This model is a fine-tuned version of MediaTek-Research/Breeze-7B-Instruct-v1_0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7582
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 17
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0139 | 1.0 | 13 | 1.0349 |
| 0.9149 | 2.0 | 26 | 0.9424 |
| 0.8664 | 3.0 | 39 | 0.8711 |
| 0.7648 | 4.0 | 52 | 0.8391 |
| 0.7454 | 5.0 | 65 | 0.8082 |
| 0.7115 | 6.0 | 78 | 0.7896 |
| 0.6892 | 7.0 | 91 | 0.7794 |
| 0.6379 | 8.0 | 104 | 0.7733 |
| 0.6592 | 9.0 | 117 | 0.7650 |
| 0.6346 | 10.0 | 130 | 0.7655 |
| 0.6214 | 11.0 | 143 | 0.7607 |
| 0.6093 | 12.0 | 156 | 0.7601 |
| 0.6085 | 13.0 | 169 | 0.7590 |
| 0.6268 | 14.0 | 182 | 0.7585 |
| 0.609 | 15.0 | 195 | 0.7575 |
| 0.6206 | 15.7273 | 204 | 0.7582 |
Framework versions
- PEFT 0.14.1.dev0
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 24, 2025
- Updated
- Jan 24, 2025