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mT5_multilingual_XLSum-finetuned-indosum – AI Model by GhifSmile | AlphaNeural AI
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mT5_multilingual_XLSum-finetuned-indosum
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
endpoints_compatible
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mT5_multilingual_XLSum-finetuned-indosum
This model is a fine-tuned version of
csebuetnlp/mT5_multilingual_XLSum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5512
Rouge1: 0.3819
Rouge2: 0.3102
Rougel: 0.3529
Rougelsum: 0.3687
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
1.8183
1.0
7131
1.5512
0.3819
0.3102
0.3529
0.3687
1.8191
2.0
14262
1.5512
0.3819
0.3102
0.3529
0.3687
1.8197
3.0
21393
1.5512
0.3819
0.3102
0.3529
0.3687
Framework versions
Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
