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IndonesianT5-GEC – AI Model by treshnanda | AlphaNeural AI
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treshnanda
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IndonesianT5-GEC
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
Wikidepia/IndoT5-base
finetune
text-generation-inference
endpoints_compatible
us
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IndonesianT5-GEC
This model is a fine-tuned version of
Wikidepia/IndoT5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 0.0
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
4500
nan
0.0
0.0
0.0
0.0
0.0
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
