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brief_dataset_10_epochs
mi-rei/brief_dataset_10_epochs
brief_dataset_10_epochs is a text classification model from mi-rei. 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
- Nov 10, 2023
- Updated
- Nov 10, 2023
- SHA
- 0b341204
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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. -->
brief_dataset_10_epochs
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: 1.2642
- Accuracy: 0.5458
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.689 | 1.0 | 1394 | 0.6778 | 0.5532 |
| 0.657 | 2.0 | 2788 | 0.6783 | 0.5910 |
| 0.6128 | 3.0 | 4182 | 0.6691 | 0.5970 |
| 0.5683 | 4.0 | 5576 | 0.7224 | 0.6029 |
| 0.5357 | 5.0 | 6970 | 0.7499 | 0.6 |
| 0.4963 | 6.0 | 8364 | 0.8269 | 0.5921 |
| 0.4739 | 7.0 | 9758 | 1.0077 | 0.5743 |
| 0.4447 | 8.0 | 11152 | 1.1239 | 0.5387 |
| 0.4167 | 9.0 | 12546 | 1.1807 | 0.5464 |
| 0.3986 | 10.0 | 13940 | 1.2642 | 0.5458 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023