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results – AI Model by yunaaa | AlphaNeural AI
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yunaaa
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results
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cc-by-4.0
text-generation-inference
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
paust/pko-t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 10.5155
Bleu: 0.8
Gen Len: 19.0
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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
6
10.9861
0.8359
19.0
No log
2.0
12
10.5155
0.8
19.0
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
