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emolamia – AI Model by ruba2ksa | AlphaNeural AI
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ruba2ksa
/
emolamia
like
0
transformers
tf
xlnet
text-classification
generated_from_keras_callback
xlnet/xlnet-base-cased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ruba2ksa/emolamia
This model is a fine-tuned version of
xlnet/xlnet-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1406
Validation Loss: 0.1900
Train Accuracy: 0.9385
Epoch: 2
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
0.6250
0.2498
0.9215
0
0.2016
0.1975
0.9335
1
0.1406
0.1900
0.9385
2
Framework versions
Transformers 4.38.2
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
