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distilbert-base-uncased-finetuned-emotions
aneesh-cherian-k/distilbert-base-uncased-finetuned-emotions
distilbert-base-uncased-finetuned-emotions is a text classification model from aneesh-cherian-k. 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
- Apr 17, 2025
- Updated
- Apr 17, 2025
- SHA
- b527bd9c
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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-emotions
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: 0.1724
- Accuracy: 0.939
- F1: 0.9390
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7711 | 1.0 | 250 | 0.2484 | 0.9235 | 0.9242 |
| 0.2014 | 2.0 | 500 | 0.1722 | 0.932 | 0.9320 |
| 0.1326 | 3.0 | 750 | 0.1581 | 0.937 | 0.9380 |
| 0.1039 | 4.0 | 1000 | 0.1509 | 0.94 | 0.9407 |
| 0.0847 | 5.0 | 1250 | 0.1429 | 0.9375 | 0.9376 |
| 0.0695 | 6.0 | 1500 | 0.1484 | 0.9395 | 0.9395 |
| 0.0606 | 7.0 | 1750 | 0.1670 | 0.939 | 0.9382 |
| 0.048 | 8.0 | 2000 | 0.1653 | 0.9385 | 0.9383 |
| 0.0387 | 9.0 | 2250 | 0.1706 | 0.9385 | 0.9388 |
| 0.0336 | 10.0 | 2500 | 0.1724 | 0.939 | 0.9390 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025