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--- |
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base_model: MediaTek-Research/Breeze-7B-Instruct-v1_0 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: ROE_Patent_Breeze7B_V1 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ROE_Patent_Breeze7B_V1 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7530 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 11 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 0.9896 | 0.9697 | 12 | 0.9971 | |
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| 0.9038 | 1.9394 | 24 | 0.9124 | |
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| 0.812 | 2.9899 | 37 | 0.8596 | |
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| 0.8009 | 3.9596 | 49 | 0.8248 | |
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| 0.7401 | 4.9293 | 61 | 0.8017 | |
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| 0.6997 | 5.9798 | 74 | 0.7835 | |
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| 0.6831 | 6.9495 | 86 | 0.7715 | |
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| 0.656 | 8.0 | 99 | 0.7635 | |
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| 0.6389 | 8.9697 | 111 | 0.7558 | |
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| 0.6094 | 9.9394 | 123 | 0.7550 | |
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| 0.5967 | 10.6667 | 132 | 0.7530 | |
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### Framework versions |
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- PEFT 0.13.3.dev0 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
