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distilbert-base-uncased-clickbait-task1-20-epoch-post
abdulmanaam/distilbert-base-uncased-clickbait-task1-20-epoch-post
distilbert-base-uncased-clickbait-task1-20-epoch-post is a machine learning model from abdulmanaam. 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
- Aug 3, 2024
- Updated
- Aug 3, 2024
- SHA
- 1c4bd9a7
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-clickbait-task1-20-epoch-post
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1587
- Accuracy: 0.6975
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 200 | 0.7981 | 0.67 |
| No log | 2.0 | 400 | 0.7490 | 0.695 |
| 0.7714 | 3.0 | 600 | 0.7823 | 0.7125 |
| 0.7714 | 4.0 | 800 | 0.8867 | 0.7025 |
| 0.3422 | 5.0 | 1000 | 1.0104 | 0.69 |
| 0.3422 | 6.0 | 1200 | 1.2018 | 0.685 |
| 0.3422 | 7.0 | 1400 | 1.4174 | 0.71 |
| 0.1036 | 8.0 | 1600 | 1.6449 | 0.7025 |
| 0.1036 | 9.0 | 1800 | 1.8061 | 0.6925 |
| 0.0419 | 10.0 | 2000 | 1.7564 | 0.71 |
| 0.0419 | 11.0 | 2200 | 1.8920 | 0.695 |
| 0.0419 | 12.0 | 2400 | 1.9388 | 0.6875 |
| 0.0174 | 13.0 | 2600 | 2.0049 | 0.695 |
| 0.0174 | 14.0 | 2800 | 2.1282 | 0.695 |
| 0.0116 | 15.0 | 3000 | 2.0698 | 0.6875 |
| 0.0116 | 16.0 | 3200 | 2.1423 | 0.7025 |
| 0.0116 | 17.0 | 3400 | 2.1413 | 0.69 |
| 0.0059 | 18.0 | 3600 | 2.1745 | 0.69 |
| 0.0059 | 19.0 | 3800 | 2.1527 | 0.695 |
| 0.0066 | 20.0 | 4000 | 2.1587 | 0.6975 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024