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t5-base-prompter-multiarith_300-repeated-ep1 – AI Model by Zekunli | AlphaNeural AI
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t5-base-prompter-multiarith_300-repeated-ep1
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-prompter-multiarith_300-repeated-ep1
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6228
Rouge1: 47.5821
Rouge2: 37.038
Rougel: 47.136
Rougelsum: 47.069
Gen Len: 12.3667
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: 2e-05
train_batch_size: 16
eval_batch_size: 64
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.5.1
Tokenizers 0.12.1
