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t5-base_boolq_dense_epochs-1 – AI Model by thrunlab | AlphaNeural AI
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thrunlab
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t5-base_boolq_dense_epochs-1
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transformers
pytorch
t5
text-classification
generated_from_trainer
super_glue
google-t5/t5-base
finetune
apache-2.0
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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t5-base_boolq_dense_epochs-1
This model is a fine-tuned version of
t5-base
on the super_glue dataset. It achieves the following results on the evaluation set:
Loss: 0.7620
Accuracy: 0.6154
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: 32
eval_batch_size: 64
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 1
Training results
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu117
Datasets 2.9.0
Tokenizers 0.14.1