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distilbert-base-uncased-finetuned-emotion-2
vuongle15/distilbert-base-uncased-finetuned-emotion-2
distilbert-base-uncased-finetuned-emotion-2 is a machine learning model from vuongle15. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 17, 2025
- Updated
- Apr 18, 2025
- SHA
- 3679f3bc
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-2
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: 0.1775
- Accuracy: 0.9405
- F1: 0.9404
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 |
|---|---|---|---|---|---|
| 0.8224 | 1.0 | 250 | 0.2698 | 0.9145 | 0.9147 |
| 0.212 | 2.0 | 500 | 0.1616 | 0.9325 | 0.9322 |
| 0.1345 | 3.0 | 750 | 0.1523 | 0.937 | 0.9375 |
| 0.1072 | 4.0 | 1000 | 0.1519 | 0.942 | 0.9423 |
| 0.085 | 5.0 | 1250 | 0.1444 | 0.9385 | 0.9386 |
| 0.0711 | 6.0 | 1500 | 0.1531 | 0.939 | 0.9392 |
| 0.06 | 7.0 | 1750 | 0.1726 | 0.936 | 0.9353 |
| 0.0512 | 8.0 | 2000 | 0.1672 | 0.94 | 0.9399 |
| 0.0404 | 9.0 | 2250 | 0.1768 | 0.9375 | 0.9376 |
| 0.039 | 10.0 | 2500 | 0.1775 | 0.9405 | 0.9404 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.15.2
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 17, 2025
- Updated
- Apr 18, 2025