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model_opus-mt-en-mul-finetuned
Miguelcj1/model_opus-mt-en-mul-finetuned
model_opus-mt-en-mul-finetuned is a machine learning model from Miguelcj1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- marian
- Access
- Public
- Created
- May 10, 2024
- Updated
- May 30, 2024
- SHA
- f98385d6
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
model_opus-mt-en-mul-finetuned
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-mul on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8770
- Bleu: 44.5232
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- May 10, 2024
- Updated
- May 30, 2024