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tiny-mbart-finetuned-en-to-ro
ffsouza/tiny-mbart-finetuned-en-to-ro
tiny-mbart-finetuned-en-to-ro is a machine learning model from ffsouza. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 30, 2021
- SHA
- 224c12c6
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. -->
tiny-mbart-finetuned-en-to-ro
This model is a fine-tuned version of sshleifer/tiny-mbart on the wmt16_en_ro_pre_processed dataset. It achieves the following results on the evaluation set:
- Loss: 8.4792
- Bleu: 0.0
- Gen Len: 20.0
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|
| 8.2425 | 1.0 | 76290 | 8.4792 | 0.0 | 20.0 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu102
- Datasets 1.15.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- mbart
- Created
- Mar 2, 2022
- Updated
- Nov 30, 2021