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Experiment-QA-Breeze-7B-Instruct-v1_0
Oliver2019/Experiment-QA-Breeze-7B-Instruct-v1_0
Experiment-QA-Breeze-7B-Instruct-v1_0 is a machine learning model from Oliver2019. 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
- Apr 1, 2024
- Updated
- Apr 1, 2024
- SHA
- bc749106
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. -->
Experiment-QA-Breeze-7B-Instruct-v1_0
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: 1.7361
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3943 | 1.0 | 27 | 1.9839 |
| 1.9857 | 2.0 | 54 | 1.8182 |
| 1.8169 | 3.0 | 81 | 1.7600 |
| 1.6758 | 4.0 | 108 | 1.7318 |
| 1.636 | 5.0 | 135 | 1.7330 |
| 1.5205 | 6.0 | 162 | 1.7361 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Apr 1, 2024
- Updated
- Apr 1, 2024