Middelz2/roberta-large-aphasia-narration-10e

This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.0307
• Validation Loss: 1.1288
• Epoch: 9

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.5644	1.2725	0
1.2658	1.1683	1
1.2033	1.1109	2
1.1646	1.0857	3
1.1249	1.0660	4
1.0581	1.0497	5
1.1127	0.9900	6
1.0349	0.9928	7
0.9866	0.9421	8
1.0307	1.1288	9

Framework versions

• Transformers 4.29.2
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3