Downloads · 30 days
7
23% of all-time downloads
DistilBERT-Sentico-finetuned-emotion
RaeesTahir/DistilBERT-Sentico-finetuned-emotion
DistilBERT-Sentico-finetuned-emotion is a text classification model from RaeesTahir. 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
30
Public
Repo size
804 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023
- SHA
- dc356435
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. -->
DistilBERT-Sentico-finetuned-emotion
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1489
- Accuracy: 0.9355
- F1: 0.9359
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0775 | 1.0 | 250 | 0.5283 | 0.8395 | 0.8225 |
| 0.3606 | 2.0 | 500 | 0.2407 | 0.9255 | 0.9255 |
| 0.2033 | 3.0 | 750 | 0.1877 | 0.928 | 0.9285 |
| 0.1575 | 4.0 | 1000 | 0.1641 | 0.9365 | 0.9363 |
| 0.1329 | 5.0 | 1250 | 0.1563 | 0.9355 | 0.9354 |
| 0.1203 | 6.0 | 1500 | 0.1484 | 0.9355 | 0.9355 |
| 0.1146 | 7.0 | 1750 | 0.1489 | 0.9355 | 0.9359 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.2.0.dev20231016
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023