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t5-base-fine-tuned-for-Punctuation-Restoration – AI Model by shashank2123 | AlphaNeural AI
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shashank2123
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t5-base-fine-tuned-for-Punctuation-Restoration
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-fine-tuned-for-Punctuation-Restoration
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1097
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1796
1.0
1431
0.1097
Framework versions
Transformers 4.10.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
