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distilroberta-base-clickbait-task1-20-epoch-post
abdulmanaam/distilroberta-base-clickbait-task1-20-epoch-post
distilroberta-base-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
- roberta
- Access
- Public
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024
- SHA
- 983cfd8c
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. -->
distilroberta-base-clickbait-task1-20-epoch-post
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5503
- Accuracy: 0.6825
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 | 0.7686 | 0.69 |
| No log | 2.0 | 400 | 0.7584 | 0.705 |
| 0.7788 | 3.0 | 600 | 0.7580 | 0.6925 |
| 0.7788 | 4.0 | 800 | 0.8267 | 0.71 |
| 0.4168 | 5.0 | 1000 | 0.9697 | 0.7 |
| 0.4168 | 6.0 | 1200 | 1.1594 | 0.685 |
| 0.4168 | 7.0 | 1400 | 1.4171 | 0.6925 |
| 0.1774 | 8.0 | 1600 | 1.6601 | 0.715 |
| 0.1774 | 9.0 | 1800 | 1.8113 | 0.6825 |
| 0.0813 | 10.0 | 2000 | 1.9062 | 0.705 |
| 0.0813 | 11.0 | 2200 | 2.0308 | 0.7075 |
| 0.0813 | 12.0 | 2400 | 2.4102 | 0.6625 |
| 0.0419 | 13.0 | 2600 | 2.3119 | 0.695 |
| 0.0419 | 14.0 | 2800 | 2.3785 | 0.6825 |
| 0.0212 | 15.0 | 3000 | 2.4639 | 0.69 |
| 0.0212 | 16.0 | 3200 | 2.4754 | 0.69 |
| 0.0212 | 17.0 | 3400 | 2.5110 | 0.69 |
| 0.0166 | 18.0 | 3600 | 2.6399 | 0.6875 |
| 0.0166 | 19.0 | 3800 | 2.5551 | 0.6825 |
| 0.0108 | 20.0 | 4000 | 2.5503 | 0.6825 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- apache-2.0
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024