Downloads · 30 days
7
13% of all-time downloads
indojavanesenli-transfer-learn-zero-shot
jalaluddin94/indojavanesenli-transfer-learn-zero-shot
indojavanesenli-transfer-learn-zero-shot is a text classification model from jalaluddin94. 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
52
Public
Repo size
1.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin711 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 4, 2023
- Updated
- Jun 6, 2023
- SHA
- ab65e5cd
Try a prompt
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. -->
indojavanesenli-transfer-learn-zero-shot
This model is a fine-tuned version of jalaluddin94/nli_mbert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6257
- Accuracy: 0.4329
- Precision: 0.4329
- Recall: 0.4329
- F1 Score: 0.4016
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: 3e-06
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---|---|---|---|---|---|---|---|
| 0.6091 | 1.0 | 646 | 1.6313 | 0.4379 | 0.4379 | 0.4379 | 0.4095 |
| 0.4973 | 2.0 | 1292 | 1.6178 | 0.4256 | 0.4256 | 0.4256 | 0.3908 |
| 0.4441 | 3.0 | 1938 | 1.9232 | 0.4238 | 0.4238 | 0.4238 | 0.3893 |
| 0.4015 | 4.0 | 2584 | 1.8953 | 0.4488 | 0.4488 | 0.4488 | 0.4288 |
| 0.3621 | 5.0 | 3230 | 2.4039 | 0.4215 | 0.4215 | 0.4215 | 0.3809 |
| 0.3258 | 6.0 | 3876 | 2.4819 | 0.4215 | 0.4215 | 0.4215 | 0.3833 |
| 0.307 | 7.0 | 4522 | 2.4260 | 0.4424 | 0.4424 | 0.4424 | 0.4147 |
| 0.2892 | 8.0 | 5168 | 2.4761 | 0.4333 | 0.4333 | 0.4333 | 0.4019 |
| 0.2778 | 9.0 | 5814 | 2.5906 | 0.4310 | 0.4310 | 0.4310 | 0.3995 |
| 0.2573 | 10.0 | 6460 | 2.6257 | 0.4329 | 0.4329 | 0.4329 | 0.4016 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 4, 2023
- Updated
- Jun 6, 2023