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rut5_base_sum_gazeta-finetuned-mlsum – AI Model by Ravencer | AlphaNeural AI
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Ravencer
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rut5_base_sum_gazeta-finetuned-mlsum
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
mlsum
apache-2.0
text-generation-inference
endpoints_compatible
us
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rut5_base_sum_gazeta-finetuned-mlsum
This model is a fine-tuned version of
IlyaGusev/rut5_base_sum_gazeta
on the mlsum 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
13
3.4842
10.3333
0.0
10.3333
10.3333
78.7
Framework versions
Transformers 4.29.1
Pytorch 2.0.1+cpu
Datasets 2.12.0
Tokenizers 0.13.3
