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distilbert-base-uncased-finetuned-emotion
moraudiet/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from moraudiet. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 12, 2024
- Updated
- Oct 23, 2024
- SHA
- 94f3c22e
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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: 0.1769
- Accuracy: 0.942
- F1: 0.9421
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 |
|---|---|---|---|---|---|
| 0.8137 | 1.0 | 250 | 0.2667 | 0.9155 | 0.9156 |
| 0.202 | 2.0 | 500 | 0.1705 | 0.9315 | 0.9310 |
| 0.1316 | 3.0 | 750 | 0.1430 | 0.941 | 0.9416 |
| 0.1029 | 4.0 | 1000 | 0.1459 | 0.939 | 0.9389 |
| 0.0835 | 5.0 | 1250 | 0.1527 | 0.937 | 0.9366 |
| 0.0694 | 6.0 | 1500 | 0.1581 | 0.9375 | 0.9374 |
| 0.0577 | 7.0 | 1750 | 0.1686 | 0.9375 | 0.9374 |
| 0.0484 | 8.0 | 2000 | 0.1681 | 0.942 | 0.9420 |
| 0.0393 | 9.0 | 2250 | 0.1738 | 0.9425 | 0.9425 |
| 0.0355 | 10.0 | 2500 | 0.1769 | 0.942 | 0.9421 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 12, 2024
- Updated
- Oct 23, 2024