Downloads · 30 days
2
8% of all-time downloads
distilbert-base-uncased-finetuned-emotion
lukasgrouleff/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from lukasgrouleff. 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
25
Public
Parameters
67M
2.7 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
- Sep 26, 2024
- Updated
- Sep 26, 2024
- SHA
- 6b1ecb78
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: 0.1823
- Accuracy: 0.942
- F1: 0.9419
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7553 | 1.0 | 250 | 0.2550 | 0.921 | 0.9215 |
| 0.195 | 2.0 | 500 | 0.1783 | 0.93 | 0.9298 |
| 0.1287 | 3.0 | 750 | 0.1567 | 0.9355 | 0.9363 |
| 0.1012 | 4.0 | 1000 | 0.1604 | 0.9385 | 0.9386 |
| 0.081 | 5.0 | 1250 | 0.1478 | 0.937 | 0.9365 |
| 0.0672 | 6.0 | 1500 | 0.1556 | 0.939 | 0.9390 |
| 0.0564 | 7.0 | 1750 | 0.1724 | 0.9355 | 0.9354 |
| 0.0462 | 8.0 | 2000 | 0.1770 | 0.935 | 0.9352 |
| 0.0378 | 9.0 | 2250 | 0.1807 | 0.939 | 0.9388 |
| 0.0325 | 10.0 | 2500 | 0.1823 | 0.942 | 0.9419 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024