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nasa-astrophysics-ner-final
jclondonol/nasa-astrophysics-ner-final
nasa-astrophysics-ner-final is a token classification model from jclondonol. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 18, 2026
- Updated
- May 18, 2026
- SHA
- f6b70fe3
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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. -->
nasa-astrophysics-ner-final
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: 0.1678
- Precision: 0.7445
- Recall: 0.7837
- F1: 0.7636
- Accuracy: 0.9622
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.3650 | 1.0 | 110 | 0.2811 | 0.5968 | 0.5778 | 0.5872 | 0.9351 |
| 0.2105 | 2.0 | 220 | 0.1911 | 0.6661 | 0.7025 | 0.6838 | 0.9526 |
| 0.1406 | 3.0 | 330 | 0.1708 | 0.6800 | 0.7524 | 0.7144 | 0.9552 |
| 0.1136 | 4.0 | 440 | 0.1566 | 0.7266 | 0.7687 | 0.7471 | 0.9605 |
| 0.0812 | 5.0 | 550 | 0.1604 | 0.7334 | 0.7701 | 0.7513 | 0.9608 |
| 0.0669 | 6.0 | 660 | 0.1618 | 0.7437 | 0.7715 | 0.7573 | 0.9615 |
| 0.0620 | 7.0 | 770 | 0.1612 | 0.7311 | 0.7840 | 0.7566 | 0.9613 |
| 0.0505 | 8.0 | 880 | 0.1638 | 0.7431 | 0.7860 | 0.7640 | 0.9619 |
| 0.0443 | 9.0 | 990 | 0.1670 | 0.7438 | 0.7867 | 0.7646 | 0.9623 |
| 0.0439 | 10.0 | 1100 | 0.1678 | 0.7445 | 0.7837 | 0.7636 | 0.9622 |
Framework versions
- Transformers 5.8.1
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 18, 2026
- Updated
- May 18, 2026