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gramfinaleed – AI Model by PrabalAryal | AlphaNeural AI
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PrabalAryal
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gramfinaleed
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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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gramfinaleed
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: 0.2000
Train Accuracy: 0.4858
Validation Loss: 0.1183
Validation Accuracy: 0.4929
Epoch: 2
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': 'Adam', 'weight_decay': 1e-05, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
1.7007
0.3784
0.2988
0.4834
0
0.3106
0.4780
0.1647
0.4902
1
0.2000
0.4858
0.1183
0.4929
2
Framework versions
Transformers 4.47.0
TensorFlow 2.17.1
Datasets 3.3.1
Tokenizers 0.21.0
