rosendahl/model

This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.1648
• Validation Loss: 2.0487
• Epoch: 2

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:

• optimizer: {'name': 'AdamWeightDecay', 'learning_rate': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.2738	2.0786	0
2.1840	2.0589	1
2.1648	2.0487	2

Framework versions

• Transformers 4.49.0
• TensorFlow 2.18.0
• Datasets 3.3.2
• Tokenizers 0.21.0