Model Card for Model ID
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-roa on a dataset of medical diagnostic technical content.
Model Description
- Developed by: Chiara Baffelli
- Language(s) (NLP): EN, FR, ES, IT, PT, RO
- Finetuned from model [optional]: Helsinki-NLP/opus-mt-en-roa
Training Hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Downloads last month
- 132
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.