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results
emanfatima2224/results
results is a machine learning model from emanfatima2224. 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
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- 58d41182
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. -->
results
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: 0.3966
- Accuracy: 0.886
- Precision: 0.8539
- Recall: 0.9268
- F1: 0.8889
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4304 | 1.0 | 125 | 0.2922 | 0.876 | 0.8932 | 0.8496 | 0.8708 |
| 0.2273 | 2.0 | 250 | 0.3282 | 0.876 | 0.8382 | 0.9268 | 0.8803 |
| 0.0898 | 3.0 | 375 | 0.3966 | 0.886 | 0.8539 | 0.9268 | 0.8889 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.11.0+cu128
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026