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IC_12 – AI Model by gustavokpc | AlphaNeural AI
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gustavokpc
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IC_12
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transformers
tf
roberta
text-classification
generated_from_keras_callback
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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gustavokpc/IC_12
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: 0.1118
Validation Loss: 0.1942
Train Accuracy: 0.9321
Epoch: 4
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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-06, 'decay_steps': 3790, '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
0.4271
0.2715
0.8951
0
0.2146
0.2502
0.9037
1
0.1645
0.1800
0.9314
2
0.1303
0.1896
0.9307
3
0.1118
0.1942
0.9321
4
Framework versions
Transformers 4.34.1
TensorFlow 2.14.0
Datasets 2.14.5
Tokenizers 0.14.1
