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t5-base-problematic-classifier – AI Model by adrienbrdne | AlphaNeural AI
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adrienbrdne
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t5-base-problematic-classifier
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transformers
tensorboard
safetensors
t5
text-classification
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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t5-base-problematic-classifier
This model is a fine-tuned version of
google-t5/t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3422
Accuracy: 0.938
Auc: 0.978
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:
learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Auc
0.6181
1.0
263
0.5343
0.764
0.95
0.5154
2.0
526
0.4355
0.907
0.967
0.4414
3.0
789
0.3799
0.929
0.975
0.409
4.0
1052
0.3515
0.933
0.978
0.3922
5.0
1315
0.3422
0.938
0.978
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
