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finetuned-DSCS24-final-project-distilbert-base-uncased-text-classification
hanyuany14/finetuned-DSCS24-final-project-distilbert-base-uncased-text-classification
finetuned-DSCS24-final-project-distilbert-base-uncased-text-classification is a text classification model from hanyuany14. 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
- Jun 12, 2024
- Updated
- Jun 12, 2024
- SHA
- 773e0b93
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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. -->
finetuned-DSCS24-final-project-distilbert-base-uncased-text-classification
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: 0.0152
- Accuracy: 0.9957
- F1: 0.9957
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: 1e-05
- train_batch_size: 82
- eval_batch_size: 82
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.0786 | 1.0 | 596 | 0.0476 | 0.9846 | 0.9846 |
| 0.0217 | 2.0 | 1192 | 0.0265 | 0.9912 | 0.9912 |
| 0.0224 | 3.0 | 1788 | 0.0171 | 0.9953 | 0.9952 |
| 0.0072 | 4.0 | 2384 | 0.0158 | 0.9953 | 0.9952 |
| 0.0157 | 5.0 | 2980 | 0.0152 | 0.9957 | 0.9957 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024