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distilbert-classn-baseline
Heather-Driver/distilbert-classn-baseline
distilbert-classn-baseline is a machine learning model from Heather-Driver. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 24, 2025
- Updated
- Mar 2, 2025
- SHA
- 81b9df21
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-classn-baseline
This model is a fine-tuned version of dslim/distilbert-NER on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4487
- Accuracy: 0.1190
- F1: 0.0535
- Precision: 0.0637
- Recall: 0.1190
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 2000
- num_epochs: 25
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 2.4574 | 5.0 | 50 | 2.4781 | 0.0952 | 0.0236 | 0.0157 | 0.0952 |
| 2.4705 | 10.0 | 100 | 2.4746 | 0.0952 | 0.0236 | 0.0157 | 0.0952 |
| 2.4716 | 15.0 | 150 | 2.4685 | 0.0952 | 0.0241 | 0.0168 | 0.0952 |
| 2.4688 | 20.0 | 200 | 2.4597 | 0.1111 | 0.0451 | 0.0452 | 0.1111 |
| 2.4659 | 25.0 | 250 | 2.4487 | 0.1190 | 0.0535 | 0.0637 | 0.1190 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 24, 2025
- Updated
- Mar 2, 2025