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QA_Finetune_BioMistral
chandrasekhar319/QA_Finetune_BioMistral
QA_Finetune_BioMistral is a machine learning model from chandrasekhar319. 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
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- 2062c1c5
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. -->
QA_Finetune_BioMistral
This model is a fine-tuned version of BioMistral/BioMistral-7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8514
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: 0.00025
- train_batch_size: 2
- 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: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9391 | 0.0619 | 200 | 0.9290 |
| 0.9056 | 0.1238 | 400 | 0.9171 |
| 0.8717 | 0.1858 | 600 | 0.9138 |
| 0.822 | 0.2477 | 800 | 0.9174 |
| 0.8539 | 0.3096 | 1000 | 0.9075 |
| 0.8902 | 0.3715 | 1200 | 0.9061 |
| 0.936 | 0.4334 | 1400 | 0.9088 |
| 0.8572 | 0.4954 | 1600 | 0.8990 |
| 0.8669 | 0.5573 | 1800 | 0.8933 |
| 0.875 | 0.6192 | 2000 | 0.8868 |
| 0.8369 | 0.6811 | 2200 | 0.8801 |
| 0.8445 | 0.7430 | 2400 | 0.8772 |
| 0.8316 | 0.8050 | 2600 | 0.8692 |
| 0.8573 | 0.8669 | 2800 | 0.8614 |
| 0.8104 | 0.9288 | 3000 | 0.8542 |
| 0.8182 | 0.9907 | 3200 | 0.8488 |
| 0.5912 | 1.0526 | 3400 | 0.8659 |
| 0.5579 | 1.1146 | 3600 | 0.8557 |
| 0.5834 | 1.1765 | 3800 | 0.8608 |
| 0.547 | 1.2384 | 4000 | 0.8514 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024