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transformers-qa – AI Model by davidnai | AlphaNeural AI
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davidnai
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transformers-qa
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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transformers-qa
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.3199
Validation Loss: 3.2826
Train Rougel: tf.Tensor(0.3922559, shape=(), dtype=float32)
Epoch: 0
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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Rougel
Epoch
2.3199
3.2826
tf.Tensor(0.3922559, shape=(), dtype=float32)
0
Framework versions
Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.8.0
Tokenizers 0.13.2
