Downloads · 30 days
5
7% of all-time downloads
distilbert-base-uncased-finetuned-emotion
Charmainemahachi/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from Charmainemahachi. 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
68
Public
Parameters
67M
1.3 GB 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
- Feb 24, 2025
- Updated
- Feb 24, 2025
- SHA
- 7e7378c8
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: 0.1726
- Accuracy: 0.94
- F1: 0.9401
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 |
|---|---|---|---|---|---|
| 0.741 | 1.0 | 250 | 0.2546 | 0.918 | 0.9186 |
| 0.201 | 2.0 | 500 | 0.1696 | 0.9365 | 0.9363 |
| 0.1346 | 3.0 | 750 | 0.1620 | 0.936 | 0.9367 |
| 0.1025 | 4.0 | 1000 | 0.1545 | 0.9425 | 0.9428 |
| 0.0846 | 5.0 | 1250 | 0.1585 | 0.9385 | 0.9388 |
| 0.07 | 6.0 | 1500 | 0.1516 | 0.939 | 0.9390 |
| 0.063 | 7.0 | 1750 | 0.1596 | 0.9355 | 0.9348 |
| 0.0478 | 8.0 | 2000 | 0.1636 | 0.9405 | 0.9404 |
| 0.0406 | 9.0 | 2250 | 0.1705 | 0.9395 | 0.9395 |
| 0.0347 | 10.0 | 2500 | 0.1726 | 0.94 | 0.9401 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 24, 2025
- Updated
- Feb 24, 2025