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distilbert-base-uncased-finetuned-test
cwchang/distilbert-base-uncased-finetuned-test
distilbert-base-uncased-finetuned-test is a text classification model from cwchang. 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
- Oct 12, 2023
- Updated
- Oct 12, 2023
- SHA
- 1b6e77cd
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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-test
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: 0.3619
- Accuracy: 0.0
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 |
|---|---|---|---|---|
| 1.1387 | 1.0 | 938 | 0.3619 | 0.0 |
| 0.1988 | 2.0 | 1876 | 0.2116 | 0.0 |
| 0.0637 | 3.0 | 2814 | 0.1875 | 0.0 |
| 0.0384 | 4.0 | 3752 | 0.1875 | 0.0 |
| 0.0209 | 5.0 | 4690 | 0.1864 | 0.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 12, 2023
- Updated
- Oct 12, 2023