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mt5-small-finetuned-ami – AI Model by EMaghakyan | AlphaNeural AI
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EMaghakyan
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mt5-small-finetuned-ami
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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EMaghakyan/mt5-small-finetuned-ami
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: 6.6857
Validation Loss: 4.4406
Epoch: 5
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': 664, '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
14.6975
7.4959
0
10.0203
5.9112
1
8.5845
5.1867
2
7.7475
4.7876
3
7.1517
4.5228
4
6.6857
4.4406
5
Framework versions
Transformers 4.25.1
TensorFlow 2.9.2
Datasets 2.8.0
Tokenizers 0.13.2
