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rut5-small-finetuned-gen-description-2 – AI Model by kirillka | AlphaNeural AI
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kirillka
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rut5-small-finetuned-gen-description-2
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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rut5-small-finetuned-gen-description-2
This model is a fine-tuned version of
cointegrated/rut5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
422
nan
2.3892
2.0
844
nan
0.0
3.0
1266
nan
0.0
4.0
1688
nan
0.0
5.0
2110
nan
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
