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distilbert_dair-ai_emotion_20240730_e20
Chahnwoo/distilbert_dair-ai_emotion_20240730_e20
distilbert_dair-ai_emotion_20240730_e20 is a text classification model from Chahnwoo. 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 30, 2024
- Updated
- Jul 30, 2024
- SHA
- ffbedbe7
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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_dair-ai_emotion_20240730_e20
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the dair-ai/emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.2862
- Accuracy: 0.942
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 250 | 0.2532 | 0.9165 |
| 0.4835 | 2.0 | 500 | 0.1618 | 0.936 |
| 0.4835 | 3.0 | 750 | 0.1718 | 0.93 |
| 0.1165 | 4.0 | 1000 | 0.1586 | 0.936 |
| 0.1165 | 5.0 | 1250 | 0.1555 | 0.935 |
| 0.076 | 6.0 | 1500 | 0.1650 | 0.937 |
| 0.076 | 7.0 | 1750 | 0.1728 | 0.938 |
| 0.0492 | 8.0 | 2000 | 0.2108 | 0.9325 |
| 0.0492 | 9.0 | 2250 | 0.2151 | 0.935 |
| 0.0304 | 10.0 | 2500 | 0.2433 | 0.9365 |
| 0.0304 | 11.0 | 2750 | 0.2350 | 0.9375 |
| 0.0238 | 12.0 | 3000 | 0.2653 | 0.939 |
| 0.0238 | 13.0 | 3250 | 0.2603 | 0.9405 |
| 0.0153 | 14.0 | 3500 | 0.2701 | 0.9375 |
| 0.0153 | 15.0 | 3750 | 0.2661 | 0.94 |
| 0.013 | 16.0 | 4000 | 0.2698 | 0.941 |
| 0.013 | 17.0 | 4250 | 0.2826 | 0.9385 |
| 0.0099 | 18.0 | 4500 | 0.2727 | 0.9415 |
| 0.0099 | 19.0 | 4750 | 0.2833 | 0.9415 |
| 0.007 | 20.0 | 5000 | 0.2862 | 0.942 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 30, 2024
- Updated
- Jul 30, 2024