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biomistral-gptq-ft
amasi/biomistral-gptq-ft
biomistral-gptq-ft is a machine learning model from amasi. 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
- May 29, 2024
- Updated
- May 29, 2024
- SHA
- 8f2328a7
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. -->
biomistral-gptq-ft
This model is a fine-tuned version of LoneStriker/BioMistral-7B-SLERP-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3391
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9096 | 1.0 | 62 | 1.3700 |
| 1.3713 | 1.99 | 124 | 1.3455 |
| 1.3253 | 2.99 | 186 | 1.3391 |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- May 29, 2024
- Updated
- May 29, 2024