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t5-seq2seq-imbalancetexx-2 – AI Model by twanghcmut | AlphaNeural AI

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twanghcmut/
t5-seq2seq-imbalancetexx-2

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google-t5/t5-small

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t5-seq2seq-imbalancetexx-2

This model is a fine-tuned version of t5-small 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: 40
eval_batch_size: 40
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

Transformers 4.43.1
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.19.1