Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
t5-small-finetuned-billsum – AI Model by nfagone | AlphaNeural AI
You can deploy this model and start earning money today!
nfagone
/
t5-small-finetuned-billsum
like
0
transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
t5-small-finetuned-billsum
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6488
Rouge1: 17.5109
Rouge2: 13.5664
Rougel: 16.6319
Rougelsum: 16.9423
Gen Len: 18.9997
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: 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.8982
1.0
2369
1.6488
17.5109
13.5664
16.6319
16.9423
18.9997
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
