inductiv-ner-course-professor-semester-model
This model is a fine-tuned version of dslim/bert-base-NER on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0001 | 1.0 | 2500 | 0.0000 |
| 0.0 | 2.0 | 5000 | 0.0000 |
| 0.0 | 3.0 | 7500 | 0.0000 |
| 0.0 | 4.0 | 10000 | 0.0000 |
| 0.0 | 5.0 | 12500 | 0.0000 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1
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Model tree for tarashagarwal/inductiv-ner-course-professor-semester-model
Base model
dslim/bert-base-NER