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# Mafoya1er/distilbert-base-uncased-finetuned-ner

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0692
- Validation Loss: 0.3969
- Train Precision: 0.8119
- Train Recall: 0.8141
- Train F1: 0.8130
- Train Accuracy: 0.9206
- Epoch: 9

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5890, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.9080     | 0.5831          | 0.6437          | 0.6212       | 0.6323   | 0.8573         | 0     |
| 0.3883     | 0.4573          | 0.7478          | 0.7245       | 0.7360   | 0.8925         | 1     |
| 0.2596     | 0.4092          | 0.7628          | 0.7696       | 0.7662   | 0.9037         | 2     |
| 0.1926     | 0.3848          | 0.7919          | 0.7838       | 0.7878   | 0.9121         | 3     |
| 0.1480     | 0.3850          | 0.7919          | 0.7963       | 0.7941   | 0.9135         | 4     |
| 0.1188     | 0.3860          | 0.8066          | 0.8006       | 0.8036   | 0.9172         | 5     |
| 0.0979     | 0.3905          | 0.8060          | 0.8085       | 0.8073   | 0.9186         | 6     |
| 0.0836     | 0.3911          | 0.8053          | 0.8120       | 0.8086   | 0.9190         | 7     |
| 0.0737     | 0.3996          | 0.8205          | 0.8113       | 0.8159   | 0.9215         | 8     |
| 0.0692     | 0.3969          | 0.8119          | 0.8141       | 0.8130   | 0.9206         | 9     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Mafoya1er/distilbert-base-uncased-finetuned-ner", "results": []}]}
transformers tf tensorboard distilbert token-classification generated_from_keras_callback base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us