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distilbert-base-uncased-finetuned-emotion
oknashar/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from oknashar. 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
- Jul 5, 2023
- Updated
- Jul 5, 2023
- SHA
- 10c4e9c8
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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 mteb/emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1803
- Accuracy: 0.94
- F1: 0.9400
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 |
|---|---|---|---|---|---|
| 0.5017 | 1.0 | 250 | 0.2116 | 0.9295 | 0.9305 |
| 0.1763 | 2.0 | 500 | 0.1617 | 0.936 | 0.9369 |
| 0.1267 | 3.0 | 750 | 0.1492 | 0.9385 | 0.9386 |
| 0.0979 | 4.0 | 1000 | 0.1495 | 0.9395 | 0.9392 |
| 0.0787 | 5.0 | 1250 | 0.1602 | 0.935 | 0.9349 |
| 0.067 | 6.0 | 1500 | 0.1588 | 0.9405 | 0.9401 |
| 0.0557 | 7.0 | 1750 | 0.1675 | 0.9415 | 0.9413 |
| 0.0452 | 8.0 | 2000 | 0.1764 | 0.937 | 0.9365 |
| 0.0375 | 9.0 | 2250 | 0.1765 | 0.9405 | 0.9406 |
| 0.0337 | 10.0 | 2500 | 0.1803 | 0.94 | 0.9400 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 5, 2023
- Updated
- Jul 5, 2023