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mt5-small-marathi_test_newcode – AI Model by AmaanDhamaskar | AlphaNeural AI
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AmaanDhamaskar
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mt5-small-marathi_test_newcode
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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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AmaanDhamaskar/mt5-small-marathi_test_newcode
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: 4.9265
Validation Loss: 2.9782
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 1664, '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
10.7465
4.3688
0
6.8139
3.4018
1
5.9290
3.1843
2
5.5236
3.0905
3
5.2406
3.0334
4
5.0940
3.0005
5
4.9912
2.9840
6
4.9265
2.9782
7
Framework versions
Transformers 4.48.3
TensorFlow 2.18.0
Datasets 3.4.0
Tokenizers 0.21.0
