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audio-t5-large-sum – AI Model by tgoktug | AlphaNeural AI
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tgoktug
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audio-t5-large-sum
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-large
finetune
apache-2.0
endpoints_compatible
us
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tgoktug/audio-t5-large-sum
This model is a fine-tuned version of
t5-large
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3447
Validation Loss: 0.5270
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': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.6431
0.5291
0
0.5063
0.5046
1
0.4337
0.4953
2
0.3809
0.4903
3
0.3447
0.5270
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0
