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results
Reeveg16/results
results is a machine learning model from Reeveg16. 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
- May 9, 2025
- Updated
- May 9, 2025
- SHA
- 0774e44f
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 the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6668
- Accuracy: 0.4895
- F1: 0.3911
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 36 | 1.9663 | 0.3497 | 0.2125 |
| No log | 2.0 | 72 | 1.8290 | 0.3706 | 0.2317 |
| 1.8015 | 3.0 | 108 | 1.7294 | 0.4266 | 0.3157 |
| 1.8015 | 4.0 | 144 | 1.6881 | 0.4755 | 0.3786 |
| 1.8015 | 5.0 | 180 | 1.6668 | 0.4895 | 0.3911 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.13.3
- Type
- distilbert
- License
- apache-2.0
- Created
- May 9, 2025
- Updated
- May 9, 2025