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distilbert-base-uncased-finetuned-source-recognition
SyaeMiko/distilbert-base-uncased-finetuned-source-recognition
distilbert-base-uncased-finetuned-source-recognition is a text classification model from SyaeMiko. 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
- distilbert
- Access
- Public
- Created
- Jan 29, 2024
- Updated
- Apr 1, 2024
- SHA
- 6e4b47d3
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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-finetuned-source-recognition
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: 0.1588
- Accuracy: 0.9550
- Precision: 0.9550
- Recall: 0.9550
- F1: 0.9550
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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.132 | 1.0 | 3009 | 0.1251 | 0.9568 | 0.9568 | 0.9568 | 0.9568 |
| 0.1066 | 2.0 | 6018 | 0.1184 | 0.9591 | 0.9592 | 0.9591 | 0.9591 |
| 0.078 | 3.0 | 9027 | 0.1432 | 0.9598 | 0.9598 | 0.9598 | 0.9598 |
| 0.0527 | 4.0 | 12036 | 0.1773 | 0.9589 | 0.9591 | 0.9589 | 0.9589 |
| 0.0313 | 5.0 | 15045 | 0.2088 | 0.9591 | 0.9591 | 0.9591 | 0.9591 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 29, 2024
- Updated
- Apr 1, 2024