Downloads · 30 days
8
17% of all-time downloads
distilbert-base-uncased_emotion_ft_0504
chastelove/distilbert-base-uncased_emotion_ft_0504
distilbert-base-uncased_emotion_ft_0504 is a text classification model from chastelove. 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
47
Public
Repo size
804 MB
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
- May 4, 2023
- Updated
- May 4, 2023
- SHA
- 29e9756f
Try a prompt
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_emotion_ft_0504
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: 0.1552
- Accuracy: 0.935
- F1: 0.9354
- Precision: 0.9063
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.7741 | 1.0 | 250 | 0.2686 | 0.909 | 0.9070 | 0.8911 |
| 0.2073 | 2.0 | 500 | 0.1767 | 0.9315 | 0.9319 | 0.9013 |
| 0.1397 | 3.0 | 750 | 0.1581 | 0.935 | 0.9353 | 0.9081 |
| 0.1123 | 4.0 | 1000 | 0.1552 | 0.935 | 0.9354 | 0.9063 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.11.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 4, 2023
- Updated
- May 4, 2023