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mrizalf7/t5-small-finetuned-indosum-3 · Pirate Face

mrizalf7/t5-small-finetuned-indosum-3

Source: 🤗apache-2.03.9 GBother✓ 12 checksumsupdated 1,218d ago

t5-small-finetuned-indosum-3

This model is a fine-tuned version of t5-small on the None 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: 10
eval_batch_size: 10
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 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

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Files and sources

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Weight files: 12
Model size: 3.9 GB
Downloads · last month: 5
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