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mt5-small-finetuned-HunSum-1_hvg_neps_portfolio_telex_1030 – AI Model by folflo | AlphaNeural AI
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folflo
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mt5-small-finetuned-HunSum-1_hvg_neps_portfolio_telex_1030
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transformers
tf
mt5
text2text-generation
generated_from_keras_callback
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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folflo/mt5-small-finetuned-HunSum-1_hvg_neps_portfolio_telex_1030
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: 2.9828
Validation Loss: 2.7822
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 112832, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
4.2783
3.1172
0
3.3483
2.9371
1
3.1688
2.8686
2
3.0788
2.8371
3
3.0212
2.8045
4
2.9828
2.7822
5
Framework versions
Transformers 4.34.1
TensorFlow 2.14.0
Datasets 2.14.6
Tokenizers 0.14.1
