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mt5-small-finetuned-xtreme-en-es – AI Model by GiganticLemon | AlphaNeural AI
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GiganticLemon
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mt5-small-finetuned-xtreme-en-es
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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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GiganticLemon/mt5-small-finetuned-xtreme-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: 4.5057
Validation Loss: 3.5332
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': 4272, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
12.9940
5.5418
0
7.2636
4.1501
1
5.9569
3.7439
2
5.3262
3.6241
3
5.0105
3.5854
4
4.7371
3.5549
5
4.6144
3.5381
6
4.5057
3.5332
7
Framework versions
Transformers 4.51.3
TensorFlow 2.18.0
Datasets 3.6.0
Tokenizers 0.21.1
