Downloads · 30 days
3
4% of all-time downloads
distilbert-base-uncased-finetuned-emotion
sfarrukhm/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from sfarrukhm. 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
73
Public
Parameters
67M
2.1 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
- Jul 11, 2024
- Updated
- Jul 13, 2024
- SHA
- 962a46cc
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: 0.2905
- Accuracy: 0.896
- F1 Score: 0.8962
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
|---|---|---|---|---|---|
| 1.5116 | 1.0 | 250 | 1.2809 | 0.5315 | 0.4734 |
| 0.8731 | 2.0 | 500 | 0.5533 | 0.834 | 0.8273 |
| 0.4323 | 3.0 | 750 | 0.3940 | 0.863 | 0.8623 |
| 0.2737 | 4.0 | 1000 | 0.3179 | 0.89 | 0.8900 |
| 0.2098 | 5.0 | 1250 | 0.2963 | 0.8935 | 0.8932 |
| 0.1734 | 6.0 | 1500 | 0.2905 | 0.896 | 0.8962 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 11, 2024
- Updated
- Jul 13, 2024