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tst-summarization – AI Model by text2font | AlphaNeural AI
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tst-summarization
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transformers
pytorch
mt5
text2text-generation
generated_from_trainer
google/mt5-large
finetune
apache-2.0
endpoints_compatible
us
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tst-summarization
This model is a fine-tuned version of
google/mt5-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 30.3505
Rouge1: 2.7855
Rouge2: 0.0203
Rougel: 2.2791
Rougelsum: 2.2817
Gen Len: 119.3571
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
Transformers 4.32.0.dev0
Pytorch 2.0.0+cu118
Datasets 2.14.0
Tokenizers 0.13.3