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distilbert-base-uncased-finetuned-dmoz-computers
mstauffer/distilbert-base-uncased-finetuned-dmoz-computers
distilbert-base-uncased-finetuned-dmoz-computers is a text classification model from mstauffer. 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
- Feb 10, 2025
- Updated
- Feb 11, 2025
- SHA
- 3011e670
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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-dmoz-computers
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9015
- Accuracy: 0.7568
- F1: 0.7576
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|
| 2.1943 | 1.0 | 208 | 1.5094 | 0.6253 | 0.6098 |
| 1.2418 | 2.0 | 416 | 1.0900 | 0.7042 | 0.6894 |
| 0.8608 | 3.0 | 624 | 0.9351 | 0.7379 | 0.7273 |
| 0.6408 | 4.0 | 832 | 0.9026 | 0.7421 | 0.7397 |
| 0.4865 | 5.0 | 1040 | 0.8867 | 0.7547 | 0.7546 |
| 0.3741 | 6.0 | 1248 | 0.8944 | 0.7453 | 0.7430 |
| 0.2914 | 7.0 | 1456 | 0.8890 | 0.7516 | 0.7524 |
| 0.2336 | 8.0 | 1664 | 0.8970 | 0.76 | 0.7613 |
| 0.2032 | 9.0 | 1872 | 0.9034 | 0.7568 | 0.7578 |
| 0.1775 | 10.0 | 2080 | 0.9015 | 0.7568 | 0.7576 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 10, 2025
- Updated
- Feb 11, 2025