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t5-small-finetuned-math_qa-problem-formula_rationale – AI Model by JoshuaRubin | AlphaNeural AI
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JoshuaRubin
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t5-small-finetuned-math_qa-problem-formula_rationale
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
math_qa
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-math_qa-problem-formula_rationale
This model is a fine-tuned version of
t5-small
on the math_qa dataset.
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: 5.6e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12
Training results
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
