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rotten_tomatoes_roberta_sentiment_analysis – AI Model by egoist000 | AlphaNeural AI
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egoist000
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rotten_tomatoes_roberta_sentiment_analysis
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transformers
tf
roberta
text-classification
generated_from_keras_callback
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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egoist000/rotten_tomatoes_roberta_sentiment_analysis
This model is a fine-tuned version of
FacebookAI/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2454
Validation Loss: 0.2918
Train Accuracy: 0.8762
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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 23031, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 2559, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Accuracy
Epoch
0.6520
0.3281
0.8724
0
0.3072
0.2703
0.8846
1
0.2454
0.2918
0.8762
2
Framework versions
Transformers 4.39.3
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
