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contextual_string_normalizer – AI Model by YurtsAI | AlphaNeural AI
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YurtsAI
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contextual_string_normalizer
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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results
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0026
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.0045
1.0
10000
0.0034
0.0037
2.0
20000
0.0027
0.0029
3.0
30000
0.0026
Framework versions
Transformers 4.39.3
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.15.2
