Downloads · 30 days
11
3% of all-time downloads
bert-base-multilingual-cased-sst2-100
tmnam20/bert-base-multilingual-cased-sst2-100
bert-base-multilingual-cased-sst2-100 is a text classification model from tmnam20. Use it when you need a label for a piece of text. 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
363
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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024
- SHA
- 338459c0
Try a prompt
Base models
Datasets
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-sst2-100
This model is a fine-tuned version of bert-base-multilingual-cased on the tmnam20/VieGLUE/SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4327
- Accuracy: 0.8819
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: 32
- eval_batch_size: 16
- seed: 100
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3948 | 0.24 | 500 | 0.4225 | 0.8257 |
| 0.3381 | 0.48 | 1000 | 0.3634 | 0.8567 |
| 0.2941 | 0.71 | 1500 | 0.3880 | 0.8475 |
| 0.2828 | 0.95 | 2000 | 0.3587 | 0.8589 |
| 0.2157 | 1.19 | 2500 | 0.3510 | 0.8761 |
| 0.2367 | 1.43 | 3000 | 0.4677 | 0.8440 |
| 0.2072 | 1.66 | 3500 | 0.3567 | 0.8773 |
| 0.1904 | 1.9 | 4000 | 0.4433 | 0.8624 |
| 0.1401 | 2.14 | 4500 | 0.4476 | 0.875 |
| 0.1452 | 2.38 | 5000 | 0.4352 | 0.8624 |
| 0.1531 | 2.61 | 5500 | 0.4456 | 0.8647 |
| 0.1359 | 2.85 | 6000 | 0.4398 | 0.8761 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.0.dev20231203+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Jan 16, 2024
- Updated
- Jan 16, 2024