Downloads · 30 days
5
0% of all-time downloads
BERT-sentiment-analysis-portuguese-with-undersampling-v2
lipaoMai/BERT-sentiment-analysis-portuguese-with-undersampling-v2
BERT-sentiment-analysis-portuguese-with-undersampling-v2 is a machine learning model from lipaoMai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
2.2K
Public
Parameters
67M
536 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 6, 2024
- SHA
- 3af67a18
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-sentiment-analysis-portuguese-with-undersampling-v2
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3082
- Accuracy: 0.8735
- F1: 0.8733
- Precision: 0.8737
- Recall: 0.8735
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4125 | 1.0 | 1508 | 0.4269 | 0.8292 | 0.8290 | 0.8339 | 0.8292 |
| 0.3285 | 2.0 | 3016 | 0.3082 | 0.8735 | 0.8733 | 0.8737 | 0.8735 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 6, 2024
- Updated
- Aug 6, 2024