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canine-c-fine-tuned-hs-new
PaceKW/canine-c-fine-tuned-hs-new
canine-c-fine-tuned-hs-new is a text classification model from PaceKW. 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
- canine
- Access
- Public
- Created
- Jun 4, 2025
- Updated
- Jun 4, 2025
- SHA
- 995a710b
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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. -->
canine-c-fine-tuned-hs-new
This model is a fine-tuned version of google/canine-c on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6932
- F1: 0.5980
- Roc Auc: 0.4972
- 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.6934 | 1.0 | 2002 | 0.6934 | 0.5951 | 0.4998 | 0.0005 |
| 0.6934 | 2.0 | 4004 | 0.6932 | 0.5980 | 0.4972 | 0.0 |
| 0.6934 | 3.0 | 6006 | 0.6934 | 0.5933 | 0.4973 | 0.0 |
| 0.6933 | 4.0 | 8008 | 0.6932 | 0.5942 | 0.4971 | 0.0010 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- canine
- License
- apache-2.0
- Created
- Jun 4, 2025
- Updated
- Jun 4, 2025