Downloads · 30 days
14
24% of all-time downloads
distilbert-base-uncased-finetuned-emotion
Jonasbukhave/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from Jonasbukhave. 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
58
Public
Parameters
67M
804 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 21, 2024
- Updated
- Feb 12, 2025
- SHA
- b2f1a971
Try a prompt
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. -->
distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1627
- Accuracy: 0.944
- F1: 0.9440
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7824 | 1.0 | 250 | 0.2535 | 0.9195 | 0.9203 |
| 0.2056 | 2.0 | 500 | 0.1691 | 0.932 | 0.9320 |
| 0.1328 | 3.0 | 750 | 0.1501 | 0.938 | 0.9390 |
| 0.1039 | 4.0 | 1000 | 0.1483 | 0.9395 | 0.9401 |
| 0.0854 | 5.0 | 1250 | 0.1455 | 0.9375 | 0.9376 |
| 0.0688 | 6.0 | 1500 | 0.1468 | 0.941 | 0.9411 |
| 0.0593 | 7.0 | 1750 | 0.1524 | 0.9395 | 0.9389 |
| 0.0472 | 8.0 | 2000 | 0.1553 | 0.9395 | 0.9394 |
| 0.0406 | 9.0 | 2250 | 0.1642 | 0.9405 | 0.9406 |
| 0.0334 | 10.0 | 2500 | 0.1627 | 0.944 | 0.9440 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 21, 2024
- Updated
- Feb 12, 2025