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t5-small-tags-extraction-800 – AI Model by lengocquangLAB | AlphaNeural AI
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t5-small-tags-extraction-800
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
lengocquangLAB/vie-news-tags-extraction
lengocquangLAB/t5-small-tags-extraction-800
finetune
mit
text-generation-inference
endpoints_compatible
us
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t5-small-tags-extraction-800
This model is a fine-tuned version of
lengocquangLAB/t5-small-tags-extraction-800
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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: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Framework versions
Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3
