Edit model card

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
Downloads last month
11
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for VanoInvestigations/BOLETIN_8bit_27

Adapter
(6)
this model