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mt5-small-finetuned-wikipedia-summarization-jp-t5-limitations – AI Model by bearbearchu | AlphaNeural AI
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mt5-small-finetuned-wikipedia-summarization-jp-t5-limitations
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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bearbearchu/mt5-small-finetuned-wikipedia-summarization-jp-t5-limitations
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.3041
Validation Loss: 0.0256
Epoch: 7
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 15304, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
8.5044
3.2504
0
3.3978
0.6390
1
1.8383
0.2519
2
1.0524
0.0977
3
0.6709
0.0507
4
0.4763
0.0347
5
0.3596
0.0275
6
0.3041
0.0256
7
Framework versions
Transformers 4.21.1
TensorFlow 2.9.1
Datasets 2.4.0
Tokenizers 0.12.1
