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roberta-large-aphasia-narration-10e – AI Model by Middelz2 | AlphaNeural AI
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Middelz2
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roberta-large-aphasia-narration-10e
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transformers
tf
roberta
fill-mask
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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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
