Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
t5-small-finetuned-xsum – AI Model by mikedodge | AlphaNeural AI
You can deploy this model and start earning money today!
mikedodge
/
t5-small-finetuned-xsum
like
0
transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.4789
Rouge1: 28.2804
Rouge2: 7.7039
Rougel: 22.2002
Rougelsum: 22.2019
Gen Len: 18.8238
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.711
1.0
12753
2.4789
28.2804
7.7039
22.2002
22.2019
18.8238
Framework versions
Transformers 4.22.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
