Downloads · 30 days
53
20% of all-time downloads
e2m_translation_project
smitmenon/e2m_translation_project
e2m_translation_project is a machine learning model from smitmenon. 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. --
All-time downloads
269
Public
Parameters
611M
303 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 99%
At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Nov 10, 2024
- Updated
- Nov 30, 2024
- SHA
- 85797440
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. -->
e2m_translation_project
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3869
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4065 | 1.0 | 625 | 0.3835 |
| 0.2622 | 2.0 | 1250 | 0.3869 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- mbart
- Created
- Nov 10, 2024
- Updated
- Nov 30, 2024