lengocquangLAB
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t5-small-tags-extraction-800

text2text-generation

Generated from Trainer

text-generation-inference

Model card Files Files and versions

t5-small-tags-extraction-800

This model is a fine-tuned version of lengocquangLAB/t5-small-tags-extraction-800 on an unknown dataset.

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

Downloads last month: 4

Safetensors

Model size

0.2B params

Tensor type

F32

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Dataset used to train lengocquangLAB/t5-small-tags-extraction-800