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distilbert-base-uncased-finetuned-emotion
danielrsn/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from danielrsn. 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 6, 2024
- Updated
- Sep 11, 2024
- SHA
- 05876746
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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: 0.1723
- Accuracy: 0.9375
- F1: 0.9375
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 |
|---|---|---|---|---|---|
| 0.8042 | 1.0 | 250 | 0.2510 | 0.918 | 0.9186 |
| 0.1979 | 2.0 | 500 | 0.1643 | 0.9395 | 0.9391 |
| 0.1335 | 3.0 | 750 | 0.1533 | 0.9315 | 0.9323 |
| 0.102 | 4.0 | 1000 | 0.1457 | 0.9395 | 0.9400 |
| 0.0846 | 5.0 | 1250 | 0.1457 | 0.94 | 0.9405 |
| 0.0686 | 6.0 | 1500 | 0.1550 | 0.9385 | 0.9387 |
| 0.0593 | 7.0 | 1750 | 0.1621 | 0.9375 | 0.9371 |
| 0.0487 | 8.0 | 2000 | 0.1673 | 0.937 | 0.9372 |
| 0.0398 | 9.0 | 2250 | 0.1722 | 0.941 | 0.9410 |
| 0.0366 | 10.0 | 2500 | 0.1723 | 0.9375 | 0.9375 |
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 6, 2024
- Updated
- Sep 11, 2024