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t5-small-finetuned-wikihow – AI Model by sanu1020 | AlphaNeural AI
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t5-small-finetuned-wikihow
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-wikihow
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5166
Rouge1: 26.4512
Rouge2: 9.8367
Rougel: 22.435
Rougelsum: 25.8013
Gen Len: 18.4829
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: 0.0003
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.7584
1.0
9829
2.5612
25.8719
9.3599
21.8236
25.202
18.5406
2.6683
2.0
19658
2.5166
26.4512
9.8367
22.435
25.8013
18.4829
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
