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sum_model – AI Model by chowdhuryshaif | AlphaNeural AI
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chowdhuryshaif
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sum_model
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-base
finetune
apache-2.0
endpoints_compatible
us
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sum_model
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.7877
Validation Loss: 0.5301
Epoch: 3
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': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.2568
0.8907
0
1.0182
0.7418
1
0.8905
0.6272
2
0.7877
0.5301
3
Framework versions
Transformers 4.32.1
TensorFlow 2.13.0
Datasets 2.14.4
Tokenizers 0.12.1
