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t5-russian – AI Model by pchelaEb | AlphaNeural AI
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t5-russian
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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t5-russian
This model is a fine-tuned version of
UrukHan/t5-russian-summarization
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5818
Rouge1: 10.7717
Rouge2: 2.1384
Rougel: 10.7467
Rougelsum: 10.6793
Gen Len: 14.413
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: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 0.33
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.5917
0.22
5000
1.5818
10.7717
2.1384
10.7467
10.6793
14.413
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
