Downloads · 30 days
4
6% of all-time downloads
mbert-lora-qa
NastasiaM/mbert-lora-qa
mbert-lora-qa is a machine learning model from NastasiaM. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
68
Public
Repo size
6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.9 MB · 71%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 16, 2026
- Updated
- May 16, 2026
- SHA
- 4301af87
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. -->
mbert-lora-qa
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset.
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.19.1
- Transformers 5.8.1
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Library
- peft
- License
- apache-2.0
- Created
- May 16, 2026
- Updated
- May 16, 2026