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opus-mt-finetuned-en-es
rossanez/opus-mt-finetuned-en-es
opus-mt-finetuned-en-es is a machine learning model from rossanez. 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
- Mar 2, 2022
- Updated
- Nov 29, 2021
- SHA
- 969e23ce
Datasets
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. -->
opus-mt-finetuned-en-es
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: 1.9813
- Bleu: 21.5636
- Gen Len: 30.0992
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.09 | 1.0 | 4382 | 1.9813 | 21.5636 | 30.0992 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Nov 29, 2021