BOLETIN_8bit_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: 8
- 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
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Model tree for VanoInvestigations/BOLETIN_8bit_27
Base model
EleutherAI/gpt-j-6b
Finetuned
bertin-project/bertin-gpt-j-6B
Finetuned
bertin-project/BOLETIN