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twitter_complaints_model
DSKIFlo/twitter_complaints_model
twitter_complaints_model is a text classification model from DSKIFlo. 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
- Dec 8, 2025
- Updated
- Dec 8, 2025
- SHA
- fc475b56
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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. -->
twitter_complaints_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1767
- Accuracy: 0.7143
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6341 | 5.0 | 20 | 0.6401 | 0.6425 |
| 0.5406 | 10.0 | 40 | 0.5885 | 0.6625 |
| 0.3126 | 15.0 | 60 | 0.5854 | 0.7096 |
| 0.111 | 20.0 | 80 | 0.7057 | 0.7132 |
| 0.0418 | 25.0 | 100 | 0.8403 | 0.7102 |
| 0.0234 | 30.0 | 120 | 0.9430 | 0.7070 |
| 0.0194 | 35.0 | 140 | 0.9413 | 0.7152 |
| 0.0137 | 40.0 | 160 | 0.9818 | 0.7152 |
| 0.0106 | 45.0 | 180 | 1.0088 | 0.7167 |
| 0.0088 | 50.0 | 200 | 1.0585 | 0.7134 |
| 0.0083 | 55.0 | 220 | 1.0737 | 0.7143 |
| 0.0076 | 60.0 | 240 | 1.1009 | 0.7134 |
| 0.0067 | 65.0 | 260 | 1.0975 | 0.7187 |
| 0.0059 | 70.0 | 280 | 1.1262 | 0.7140 |
| 0.0057 | 75.0 | 300 | 1.1484 | 0.7134 |
| 0.005 | 80.0 | 320 | 1.1608 | 0.7137 |
| 0.0046 | 85.0 | 340 | 1.1709 | 0.7134 |
| 0.0045 | 90.0 | 360 | 1.1762 | 0.7137 |
| 0.0049 | 95.0 | 380 | 1.1752 | 0.7143 |
| 0.0045 | 100.0 | 400 | 1.1767 | 0.7143 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025