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t5small-squad-extractive – AI Model by Splend1dchan | AlphaNeural AI
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t5small-squad-extractive
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transformers
pytorch
tensorboard
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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t5_squad
This model is a fine-tuned version of
t5-small
on the squad dataset, using the extractive method by isolating the encoder only.
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: 3e-05
train_batch_size: 12
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
{ "epoch": 3.0, "eval_exact_match": 70.06622516556291, "eval_f1": 80.02993815400357, "eval_samples": 10659 }
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.18.4
Tokenizers 0.11.6
