Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
byT5-address-normalization – AI Model by HueyNemud | AlphaNeural AI
You can deploy this model and start earning money today!
HueyNemud
/
byT5-address-normalization
like
0
transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/byt5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
byT5-address-normalization
This model is a fine-tuned version of
google/byt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0139
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0329
1.0
1746
0.0193
0.0183
2.0
3492
0.0143
0.0083
3.0
5238
0.0139
Framework versions
Transformers 5.13.1
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
