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distilroberta-base-fake_news_detector-Am09
Am09/distilroberta-base-fake_news_detector-Am09
distilroberta-base-fake_news_detector-Am09 is a text classification model from Am09. 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
- roberta
- Access
- Public
- Created
- Oct 3, 2024
- Updated
- Oct 3, 2024
- SHA
- 8fbaaf64
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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 distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0022
- Acc: 0.9997
- Precision: 0.9997
- Recall: 0.9997
- F1 score: 0.9997
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: 32
- 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: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | Precision | Recall | F1 score |
|---|---|---|---|---|---|---|---|
| 0.0069 | 0.0989 | 100 | 0.0401 | 0.9928 | 0.9927 | 0.9930 | 0.9928 |
| 0.0262 | 0.1978 | 200 | 0.0143 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
| 0.0118 | 0.2967 | 300 | 0.0098 | 0.9983 | 0.9983 | 0.9983 | 0.9983 |
| 0.0135 | 0.3956 | 400 | 0.0088 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0163 | 0.4946 | 500 | 0.0136 | 0.9981 | 0.9980 | 0.9981 | 0.9980 |
| 0.0078 | 0.5935 | 600 | 0.0114 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
| 0.0103 | 0.6924 | 700 | 0.0132 | 0.9983 | 0.9983 | 0.9983 | 0.9983 |
| 0.0041 | 0.7913 | 800 | 0.0122 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
| 0.0098 | 0.8902 | 900 | 0.0078 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
| 0.0045 | 0.9891 | 1000 | 0.0047 | 0.9989 | 0.9989 | 0.9989 | 0.9989 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Oct 3, 2024
- Updated
- Oct 3, 2024