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BOLETIN_4bit_27
VanoInvestigations/BOLETIN_4bit_27
BOLETIN_4bit_27 is a machine learning model from VanoInvestigations. 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 openrail.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- openrail
- Access
- Public
- Created
- Feb 8, 2024
- Updated
- Feb 9, 2024
- SHA
- a52598c7
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. -->
BOLETIN_4bit_27
This model is a fine-tuned version of bertin-project/BOLETIN on an unknown dataset.
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: 1.41e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1
- Library
- peft
- License
- openrail
- Created
- Feb 8, 2024
- Updated
- Feb 9, 2024