Downloads · 30 days
8
20% of all-time downloads
distilbert-base-uncased-finetuned-emotion
gptsoho/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from gptsoho. 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
41
Public
Repo size
3.5 GB
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
- Sep 1, 2023
- Updated
- Oct 10, 2023
- SHA
- 47351340
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-base-uncased-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: 0.1703
- Accuracy: 0.936
- F1: 0.9360
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 |
|---|---|---|---|---|---|
| 0.1741 | 1.0 | 250 | 0.1757 | 0.93 | 0.9309 |
| 0.1158 | 2.0 | 500 | 0.1692 | 0.932 | 0.9330 |
| 0.1014 | 3.0 | 750 | 0.1848 | 0.9285 | 0.9290 |
| 0.0778 | 4.0 | 1000 | 0.1703 | 0.9395 | 0.9394 |
| 0.0616 | 5.0 | 1250 | 0.1672 | 0.938 | 0.9379 |
| 0.0534 | 6.0 | 1500 | 0.1703 | 0.936 | 0.9360 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 1, 2023
- Updated
- Oct 10, 2023