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mdeberta_ASE_kgl_large – AI Model by khadija69 | AlphaNeural AI
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khadija69
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mdeberta_ASE_kgl_large
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transformers
tf
deberta-v2
token-classification
generated_from_keras_callback
microsoft/mdeberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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khadija69/mdeberta_ASE_kgl_large
This model is a fine-tuned version of
microsoft/mdeberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2231
Validation Loss: 0.3309
Epoch: 5
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2400, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.4019
0.3377
0
0.3141
0.3176
1
0.2837
0.3339
2
0.2635
0.3282
3
0.2413
0.3215
4
0.2231
0.3309
5
Framework versions
Transformers 4.39.3
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
