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pop_genre5 – Dataset by aish31 | AlphaNeural AI
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pop_genre5
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pop_genre5
This model is a fine-tuned version of
facebook/bart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.5063
Validation Loss: 0.6842
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.4675
0.9956
0
0.9108
0.8082
1
0.7168
0.7359
2
0.5947
1.1556
3
0.5063
0.6842
4
Framework versions
Transformers 4.33.2
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3
