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demo
chiaying0608/demo
demo is a text classification model from chiaying0608. 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
- Mar 23, 2024
- Updated
- Mar 23, 2024
- SHA
- 552e9c1a
Try a prompt
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. -->
demo
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: 0.4509
- Matthews Correlation: 0.5279
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 | Matthews Correlation |
|---|---|---|---|---|
| 0.5259 | 1.0 | 535 | 0.4498 | 0.4628 |
| 0.3468 | 2.0 | 1070 | 0.4509 | 0.5279 |
| 0.2403 | 3.0 | 1605 | 0.5986 | 0.5220 |
| 0.1757 | 4.0 | 2140 | 0.7999 | 0.5111 |
| 0.1248 | 5.0 | 2675 | 0.8358 | 0.5181 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024