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anus-wanus-panus-ranus
namebobb/anus-wanus-panus-ranus
anus-wanus-panus-ranus is a text classification model from namebobb. 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
- Apr 21, 2024
- Updated
- Apr 21, 2024
- SHA
- d43b747f
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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. -->
anus-wanus-panus-ranus
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5332
- Accuracy: 0.5681
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 |
|---|---|---|---|---|
| 1.4909 | 1.0 | 2714 | 1.4396 | 0.5659 |
| 1.2429 | 2.0 | 5428 | 1.3880 | 0.5767 |
| 1.0458 | 3.0 | 8142 | 1.4332 | 0.5694 |
| 0.9289 | 4.0 | 10856 | 1.4857 | 0.5679 |
| 0.7864 | 5.0 | 13570 | 1.5332 | 0.5681 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 21, 2024