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DSChallengeLearningRateWeightDecay
leonardosaveri/DSChallengeLearningRateWeightDecay
DSChallengeLearningRateWeightDecay is a text classification model from leonardosaveri. 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 1, 2023
- Updated
- May 1, 2023
- SHA
- 8211ed67
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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. -->
DSChallengeLearningRateWeightDecay
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: 0.6229
- Accuracy: 0.8870
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: 0.0002
- 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 |
|---|---|---|---|---|
| 0.3295 | 1.0 | 746 | 0.3610 | 0.8689 |
| 0.2547 | 2.0 | 1492 | 0.3784 | 0.8833 |
| 0.0817 | 3.0 | 2238 | 0.4758 | 0.8880 |
| 0.0515 | 4.0 | 2984 | 0.6229 | 0.8870 |
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 1, 2023
- Updated
- May 1, 2023