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mt5-small-finetuned-amazon-en-es – AI Model by ZachBeesley | AlphaNeural AI
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ZachBeesley
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mt5-small-finetuned-amazon-en-es
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
en
es
apache-2.0
endpoints_compatible
us
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ZachBeesley/mt5-small-finetuned-amazon-en-es
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: 4.0941
Validation Loss: 3.3710
Epoch: 7
Model description
Text-summarization model that can summarize English and Spanish contexts.
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': 9672, '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
9.3116
4.2338
0
5.8732
3.7347
1
5.1341
3.5766
2
4.7232
3.4923
3
4.4641
3.4383
4
4.2974
3.4019
5
4.1615
3.3797
6
4.0941
3.3710
7
Framework versions
Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3
