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movieHunt3-ner
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: 0.0009
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 95 | 0.0462 |
| No log | 2.0 | 190 | 0.0067 |
| No log | 3.0 | 285 | 0.0028 |
| No log | 4.0 | 380 | 0.0018 |
| No log | 5.0 | 475 | 0.0014 |
| 0.1098 | 6.0 | 570 | 0.0012 |
| 0.1098 | 7.0 | 665 | 0.0011 |
| 0.1098 | 8.0 | 760 | 0.0010 |
| 0.1098 | 9.0 | 855 | 0.0010 |
| 0.1098 | 10.0 | 950 | 0.0009 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
