Downloads · 30 days
3
12% of all-time downloads
ROE_Patent_Breeze7B_20250124_Type2
allen0909/ROE_Patent_Breeze7B_20250124_Type2
ROE_Patent_Breeze7B_20250124_Type2 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. --
All-time downloads
25
Public
Repo size
69.4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors13.6 MB · 69%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 24, 2025
- Updated
- Jan 24, 2025
- SHA
- 3e844433
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_Type2
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: 1.0886
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: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2674 | 1.0 | 13 | 1.2818 |
| 1.1968 | 2.0 | 26 | 1.2237 |
| 1.109 | 3.0 | 39 | 1.1783 |
| 1.0705 | 4.0 | 52 | 1.1455 |
| 1.0496 | 5.0 | 65 | 1.1257 |
| 0.9968 | 6.0 | 78 | 1.1108 |
| 0.9967 | 7.0 | 91 | 1.0996 |
| 0.9594 | 8.0 | 104 | 1.0953 |
| 0.9665 | 9.0 | 117 | 1.0904 |
| 0.9773 | 10.0 | 130 | 1.0887 |
| 0.9705 | 11.0 | 143 | 1.0930 |
| 0.9705 | 11.0808 | 144 | 1.0886 |
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