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