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mbart-en-translation
JoseLuis95/mbart-en-translation
mbart-en-translation is a machine learning model from JoseLuis95. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- 66bf4754
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. -->
mbart-en-translation
This model is a fine-tuned version of facebook/mbart-large-50 on watermelonhydro/es_en_2999 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2646
- Bleu: 51.3603
- Gen Len: 51.072
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: 5.6e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 282 | 1.0701 | 46.0434 | 49.7947 |
| 1.2218 | 2.0 | 564 | 0.9959 | 49.3118 | 50.584 |
| 1.2218 | 3.0 | 846 | 1.0847 | 50.359 | 51.352 |
| 0.311 | 4.0 | 1128 | 1.2012 | 50.6484 | 50.9733 |
| 0.311 | 5.0 | 1410 | 1.2646 | 51.3603 | 51.072 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024