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dotless-model-medium-mixed – AI Model by dot-ammar | AlphaNeural AI
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dot-ammar
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dotless-model-medium-mixed
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google/t5-v1_1-small
finetune
apache-2.0
endpoints_compatible
us
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dot-ammar/dotless-model-medium-mixed
This model is a fine-tuned version of
google/t5-v1_1-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1392
Train Accuracy: 0.9818
Validation Loss: 0.0706
Validation Accuracy: 0.9919
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
2.8556
0.6713
0.1201
0.9890
0
0.2501
0.9667
0.0858
0.9912
1
0.1392
0.9818
0.0706
0.9919
2
Framework versions
Transformers 4.33.0
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3
