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run
salangarica/run
run is a machine learning model from salangarica. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Apr 26, 2024
- Updated
- May 1, 2024
- SHA
- 5aa1298e
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. -->
run
This model is a fine-tuned version of salangarica/BioMistral-LLM on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
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: 2e-05
- 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: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.131 | 1.0 | 110 | 0.1747 |
| 0.1903 | 2.0 | 220 | 0.1724 |
| 0.0928 | 3.0 | 330 | 0.2107 |
| 0.0738 | 4.0 | 440 | 0.2131 |
| 0.0735 | 5.0 | 550 | 0.3032 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.2
- Library
- peft
- Created
- Apr 26, 2024
- Updated
- May 1, 2024