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roberta_ASE_clb_large_layers_tail – AI Model by khadija69 | AlphaNeural AI
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khadija69
/
roberta_ASE_clb_large_layers_tail
like
0
transformers
tf
xlm-roberta
token-classification
generated_from_keras_callback
khadija69/roberta_ASE_kgl_large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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khadija69/roberta_ASE_clb_large_layers_tail
This model is a fine-tuned version of
khadija69/roberta_ASE_kgl_large
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0908
Validation Loss: 0.2620
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
0.2264
0.2217
0
0.1986
0.2090
1
0.1626
0.2112
2
0.1300
0.2299
3
0.1089
0.2454
4
0.0908
0.2620
5
Framework versions
Transformers 4.41.1
TensorFlow 2.15.0
Datasets 2.19.1
Tokenizers 0.19.1
