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t5-small-finetuned-summary_pd – AI Model by Pdmk | AlphaNeural AI
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Pdmk
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t5-small-finetuned-summary_pd
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transformers
pytorch
tensorboard
t5
text2text-generation
summarization
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-summary_pd
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9326
Rouge1: 37.5319
Rouge2: 11.7719
Rougel: 37.0546
Rougelsum: 36.8197
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: 5.6e-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
3.5559
1.0
688
2.9326
37.5319
11.7719
37.0546
36.8197
Framework versions
Transformers 4.32.0
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.3
