Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
t5-small-finetuned-xsum – AI Model by jamiehuang12 | AlphaNeural AI
You can deploy this model and start earning money today!
jamiehuang12
/
t5-small-finetuned-xsum
like
0
transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
eli5
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 eli5 dataset. It achieves the following results on the evaluation set:
Loss: 3.6744
Rouge1: 13.2843
Rouge2: 2.006
Rougel: 10.6541
Rougelsum: 12.0343
Gen Len: 18.9984
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
3.8822
1.0
17040
3.6744
13.2843
2.006
10.6541
12.0343
18.9984
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1
