t5_disfluent_cleaner – AI Model by abdulbaseermohammedkhan | AlphaNeural AI

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abdulbaseermohammedkhan/
t5_disfluent_cleaner

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5_disfluent_cleaner

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6394
Bleu: 0.9088
Rougel: 0.9584
Exact Match: 0.7342

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: 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_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rougel	Exact Match
1.652	1.0	896	1.6790	0.8989	0.9530	0.7031
1.6164	2.0	1792	1.6544	0.9039	0.9554	0.7182
1.5844	3.0	2688	1.6443	0.9055	0.9566	0.7252
1.5963	4.0	3584	1.6394	0.9088	0.9584	0.7342
1.6005	5.0	4480	1.6375	0.9077	0.9580	0.7342

Framework versions

Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2