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models-moved
w6666/models-moved
models-moved is a text classification model from w6666. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- May 23, 2025
- Updated
- May 24, 2025
- SHA
- 3d2d7367
Try a prompt
Datasets
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. -->
models
This model was trained from scratch on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.2801
- Accuracy: 0.936
- F1: 0.9359
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4034 | 1.0 | 1000 | 0.2211 | 0.921 | 0.9218 |
| 0.1681 | 2.0 | 2000 | 0.1970 | 0.93 | 0.9288 |
| 0.1171 | 3.0 | 3000 | 0.1928 | 0.9375 | 0.9373 |
| 0.0807 | 4.0 | 4000 | 0.2077 | 0.936 | 0.9363 |
| 0.0446 | 5.0 | 5000 | 0.2801 | 0.936 | 0.9359 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- May 23, 2025
- Updated
- May 24, 2025