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roberta-large-aphasia-narration-weightdecay0-lr2e4_eps_10 – AI Model by Middelz2 | AlphaNeural AI
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Middelz2
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roberta-large-aphasia-narration-weightdecay0-lr2e4_eps_10
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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-weightdecay0-lr2e4_eps_10
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: 5.6128
Validation Loss: 5.5802
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': 0.0002, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
2.1420
1.6450
0
1.6971
1.4556
1
1.6025
1.3882
2
1.4763
1.2997
3
1.4301
1.3055
4
1.4358
1.3317
5
2.2816
2.4774
6
2.7754
2.0994
7
4.5272
5.5713
8
5.6128
5.5802
9
Framework versions
Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.0
Tokenizers 0.13.3
