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mbart-large-50-finetuned-gec
smartik/mbart-large-50-finetuned-gec
mbart-large-50-finetuned-gec is a machine learning model from smartik. 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
- Mar 8, 2023
- Updated
- May 29, 2023
- SHA
- 9966a7bf
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-large-50-finetuned-gec
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2174
- Rouge1: 20.9014
- Rouge2: 7.5808
- Rougel: 20.8964
- Rougelsum: 20.8516
- Gen Len: 27.3493
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2337 | 1.0 | 2046 | 0.2174 | 20.9014 | 7.5808 | 20.8964 | 20.8516 | 27.3493 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Mar 8, 2023
- Updated
- May 29, 2023