Downloads · 30 days
6
22% of all-time downloads
distilbert-base-uncased-finetuned-emo_une
Gregorig/distilbert-base-uncased-finetuned-emo_une
distilbert-base-uncased-finetuned-emo_une is a text classification model from Gregorig. 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
27
Public
Parameters
67M
268 MB 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
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- 0c7a9380
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-emo_une
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: 0.4619
- Accuracy: 0.79
- F1: 0.7976
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6217 | 1.0 | 26 | 0.5176 | 0.795 | 0.8019 |
| 0.4629 | 2.0 | 52 | 0.4555 | 0.805 | 0.8142 |
| 0.3877 | 3.0 | 78 | 0.4558 | 0.795 | 0.8019 |
| 0.3343 | 4.0 | 104 | 0.4640 | 0.805 | 0.8095 |
| 0.3068 | 5.0 | 130 | 0.4619 | 0.79 | 0.7976 |
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
- Jun 26, 2024
- Updated
- Jun 26, 2024