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
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Model tree for BramVanroy/sonar-coarse-classification
Base model
DTAI-KULeuven/robbert-2023-dutch-large