Downloads · 30 days
9
20% of all-time downloads
bert-base-multilingual-cased_ft-multilple-choice-enem-sample
douglasrolins/bert-base-multilingual-cased_ft-multilple-choice-enem-sample
bert-base-multilingual-cased_ft-multilple-choice-enem-sample is a multiple choice model from douglasrolins. Use it for the multiple choice 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
44
Public
Parameters
178M
711 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors711 MB · 99%
At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 4, 2023
- Updated
- Dec 4, 2023
- SHA
- 2822ea8b
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. -->
bert-base-multilingual-cased_ft-multilple-choice-enem-sample
This model is a fine-tuned version of bert-base-multilingual-cased on an enem-sample dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2645
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5807 | 1.0 | 691 | 1.6094 | 0.2246 |
| 1.6194 | 2.0 | 1382 | 1.6094 | 0.2355 |
| 1.6151 | 3.0 | 2073 | 1.6094 | 0.2645 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 4, 2023