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distilbert-base-uncased-finetuned-emotion
yspkm/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from yspkm. 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
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- 2c431222
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Base models
Datasets
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 the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1443
- Accuracy: 0.9375
- 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: 256
- eval_batch_size: 256
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 63 | 0.8657 | 0.714 | 0.6520 |
| No log | 2.0 | 126 | 0.3186 | 0.9085 | 0.9076 |
| No log | 3.0 | 189 | 0.2032 | 0.928 | 0.9281 |
| 0.5856 | 4.0 | 252 | 0.1733 | 0.93 | 0.9301 |
| 0.5856 | 5.0 | 315 | 0.1578 | 0.937 | 0.9368 |
| 0.5856 | 6.0 | 378 | 0.1543 | 0.9335 | 0.9341 |
| 0.5856 | 7.0 | 441 | 0.1506 | 0.9345 | 0.9343 |
| 0.1139 | 8.0 | 504 | 0.1475 | 0.939 | 0.9396 |
| 0.1139 | 9.0 | 567 | 0.1444 | 0.9375 | 0.9374 |
| 0.1139 | 10.0 | 630 | 0.1443 | 0.9375 | 0.9378 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024