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rmodel1 – AI Model by solounicorn | AlphaNeural AI
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solounicorn
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rmodel1
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google/flan-t5-base
finetune
apache-2.0
endpoints_compatible
us
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rmodel1
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.5987
Train Accuracy: 0.5134
Validation Loss: 2.0008
Validation Accuracy: 0.6223
Epoch: 4
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': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 250, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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
6.4381
0.3094
3.9639
0.3781
0
3.6872
0.3491
2.7335
0.4262
1
3.0443
0.3966
2.4090
0.5211
2
2.7687
0.4612
2.1562
0.6008
3
2.5987
0.5134
2.0008
0.6223
4
Framework versions
Transformers 4.48.3
TensorFlow 2.14.0
Datasets 3.3.0
Tokenizers 0.21.0
