Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
google-t5base-finetuned-iswlt2017-en-to-fr – AI Model by emath | AlphaNeural AI
You can deploy this model and start earning money today!
emath
/
google-t5base-finetuned-iswlt2017-en-to-fr
like
0
transformers
pytorch
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
kde4
apache-2.0
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
google-t5base-finetuned-iswlt2017-en-to-fr
This model is a fine-tuned version of
t5-base
on the kde4 dataset. It achieves the following results on the evaluation set:
Loss: 0.7606
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: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.9744
1.0
5912
0.8201
0.8671
2.0
11824
0.7727
0.8578
3.0
17736
0.7606
Framework versions
Transformers 4.30.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.13.3
