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DistilBERT-base
zonghaoyang/DistilBERT-base
DistilBERT-base is a text classification model from zonghaoyang. 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
- May 9, 2023
- Updated
- May 10, 2023
- SHA
- 76ce08b6
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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. -->
DistilBERT-base
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4473
- Accuracy: 0.8981
- F1: 0.5963
- Precision: 0.6542
- Recall: 0.5478
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2504 | 1.0 | 1626 | 0.2628 | 0.8997 | 0.5244 | 0.7523 | 0.4025 |
| 0.1968 | 2.0 | 3252 | 0.3281 | 0.8981 | 0.6005 | 0.6507 | 0.5575 |
| 0.1475 | 3.0 | 4878 | 0.4167 | 0.8949 | 0.6029 | 0.6267 | 0.5809 |
| 0.1031 | 4.0 | 6504 | 0.4473 | 0.8981 | 0.5963 | 0.6542 | 0.5478 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 9, 2023
- Updated
- May 10, 2023