ROE_Patent_Breeze7B_V1
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: 0.7530
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
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Model tree for allen0909/ROE_Patent_Breeze7B_V1
Base model
MediaTek-Research/Breeze-7B-Instruct-v1_0