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mt5-small-finetuned-on-mT5-lcsts – AI Model by dltsj | AlphaNeural AI
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mt5-small-finetuned-on-mT5-lcsts
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transformers
pytorch
tensorboard
mt5
text2text-generation
summarization
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-on-mT5-lcsts
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: 5.6e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
3.6049
1.0
47451
3.0569
10.8382
1.6761
10.7971
10.7943
3.354
2.0
94902
2.9896
11.2666
1.816
11.2222
11.2216
Framework versions
Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
