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metadata
library_name: transformers
base_model: DTAI-KULeuven/robbert-2023-dutch-large
language:
  - nl

SONAR500 Coarse Domains Classification model

This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-large on the BramVanroy/SONAR500-coarse_domain 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: 1e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 128
  • num_epochs: 1

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.20.0