nils-nl-to-rx-pt-v8

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0174

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.4027	1.0	500	0.0367
0.0409	2.0	1000	0.0224
0.0264	3.0	1500	0.0174

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2