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swahili_summary – AI Model by Jayem-11 | AlphaNeural AI
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Jayem-11
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swahili_summary
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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swahili_summary
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: 2.0394
Validation Loss: 1.8347
Train Rougel: tf.Tensor(0.08596196, shape=(), dtype=float32)
Epoch: 1
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': 2e-05, '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
2.4004
1.9627
tf.Tensor(0.052536312, shape=(), dtype=float32)
0
2.0394
1.8347
tf.Tensor(0.08596196, shape=(), dtype=float32)
1
Framework versions
Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3
