Middelz2/roberta-large-aphasia-picture-description-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: 1.0392
• Validation Loss: 0.9399
• 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
1.5600	1.2996	0
1.3034	1.2214	1
1.2276	1.1589	2
1.1964	1.0836	3
1.1387	1.0659	4
1.1209	1.0436	5
1.0559	1.0221	6
1.0564	0.9269	7
1.0227	0.9755	8
1.0392	0.9399	9

Framework versions

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