benjaminvdb-dbrd

This model is a fine-tuned version of sytnaxerror/yhavinga-imdb_dutch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2641
• Accuracy: 0.9227

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3253	1.0	1252	0.3086	0.8939
0.2075	2.0	2504	0.2834	0.9146
0.1679	3.0	3756	0.2641	0.9227

Framework versions

• Transformers 5.4.0
• Pytorch 2.9.1+cu130
• Datasets 4.8.4
• Tokenizers 0.22.2