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hw01
sokeko/hw01
hw01 is a machine learning model from sokeko. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024
- SHA
- f5b7d9d4
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. -->
hw01
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: 1.0621
- Matthews Correlation: 0.5277
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: 9.364688186229237e-06
- train_batch_size: 4
- eval_batch_size: 16
- seed: 27
- 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 |
|---|---|---|---|---|
| 0.5235 | 1.0 | 2138 | 0.5122 | 0.4243 |
| 0.5236 | 2.0 | 4276 | 0.7920 | 0.4966 |
| 0.3605 | 3.0 | 6414 | 0.9193 | 0.4940 |
| 0.3071 | 4.0 | 8552 | 1.0005 | 0.5245 |
| 0.2289 | 5.0 | 10690 | 1.0621 | 0.5277 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024