Downloads · 30 days
5
10% of all-time downloads
wsdbanglat5_2e4_mBART50_v1
sajjad55/wsdbanglat5_2e4_mBART50_v1
wsdbanglat5_2e4_mBART50_v1 is a machine learning model from sajjad55. 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
49
Public
Parameters
611M
24.5 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
- Jun 23, 2024
- Updated
- Jun 23, 2024
- SHA
- e9b01adb
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. -->
wsdbanglat5_2e4_mBART50_v1
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0101
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0782 | 1.0 | 1481 | 0.0769 |
| 0.0524 | 2.0 | 2962 | 0.0494 |
| 0.0369 | 3.0 | 4443 | 0.0356 |
| 0.0294 | 4.0 | 5924 | 0.0295 |
| 0.0221 | 5.0 | 7405 | 0.0233 |
| 0.0166 | 6.0 | 8886 | 0.0163 |
| 0.0128 | 7.0 | 10367 | 0.0146 |
| 0.0122 | 8.0 | 11848 | 0.0129 |
| 0.0087 | 9.0 | 13329 | 0.0111 |
| 0.0059 | 10.0 | 14810 | 0.0101 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024