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bm-t5-text-normalization-1

This model is a fine-tuned version of google/flan-t5-base on the oza75/bm-text-normalization and the djelia/bm-text-normalization datasets.

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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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Safetensors

Model size

0.2B params

Tensor type

F32

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Finetuned

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