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distilbert-base-uncased-finetuned-emotion
SebastianG-J/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from SebastianG-J. 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
- Sep 10, 2024
- Updated
- Sep 10, 2024
- SHA
- 7fde92df
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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: 0.1784
- Accuracy: 0.938
- F1: 0.9378
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 |
|---|---|---|---|---|---|
| 0.7866 | 1.0 | 250 | 0.2520 | 0.9225 | 0.9227 |
| 0.2008 | 2.0 | 500 | 0.1609 | 0.934 | 0.9336 |
| 0.1345 | 3.0 | 750 | 0.1452 | 0.937 | 0.9375 |
| 0.1033 | 4.0 | 1000 | 0.1449 | 0.935 | 0.9351 |
| 0.0863 | 5.0 | 1250 | 0.1463 | 0.937 | 0.9365 |
| 0.0704 | 6.0 | 1500 | 0.1564 | 0.936 | 0.9361 |
| 0.0614 | 7.0 | 1750 | 0.1629 | 0.935 | 0.9347 |
| 0.0484 | 8.0 | 2000 | 0.1687 | 0.937 | 0.9371 |
| 0.0414 | 9.0 | 2250 | 0.1763 | 0.9385 | 0.9384 |
| 0.0364 | 10.0 | 2500 | 0.1784 | 0.938 | 0.9378 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024