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distilbert-base-uncased-finetuned-reddit
ferric-gravity/distilbert-base-uncased-finetuned-reddit
distilbert-base-uncased-finetuned-reddit is a text classification model from ferric-gravity. 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
- Aug 10, 2025
- Updated
- Aug 23, 2025
- SHA
- e90dcd99
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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. -->
distilbert-base-uncased-finetuned-reddit
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1168
- Accuracy: 0.9699
- F1: 0.9699
- Roc-auc: 0.9700
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | Roc-auc |
|---|---|---|---|---|---|---|
| No log | 1.0 | 127 | 0.1353 | 0.9596 | 0.9596 | 0.9597 |
| 0.2913 | 2.0 | 254 | 0.1084 | 0.9635 | 0.9635 | 0.9635 |
| 0.0978 | 3.0 | 381 | 0.1130 | 0.9685 | 0.9685 | 0.9685 |
| 0.0573 | 4.0 | 508 | 0.1149 | 0.9690 | 0.9690 | 0.9690 |
| 0.0417 | 5.0 | 635 | 0.1168 | 0.9699 | 0.9699 | 0.9700 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 10, 2025
- Updated
- Aug 23, 2025