Downloads · 30 days
11
29% of all-time downloads
mbart-neutralization
raqdo09/mbart-neutralization
mbart-neutralization is a machine learning model from raqdo09. 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. --
All-time downloads
38
Public
Parameters
611M
4.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 99%
At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024
- SHA
- 128ac79a
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-neutralization
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: 0.0181
- Bleu: 98.7341
- Gen Len: 18.4896
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 440 | 0.0307 | 91.2911 | 18.25 |
| 0.2343 | 2.0 | 880 | 0.0181 | 98.7341 | 18.4896 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mbart
- License
- mit
- Languages
- es
- Created
- Feb 18, 2024
- Updated
- Feb 18, 2024