---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: nikoslefkos/conll03_model
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# nikoslefkos/conll03_model

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on conll03 dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0028
- Validation Loss: 0.0797
- Train Precision: 0.9178
- Train Recall: 0.9409
- Train F1: 0.9292
- Train Accuracy: 0.9840
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 4380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.2257     | 0.0909          | 0.8675          | 0.9037       | 0.8853   | 0.9733         | 0     |
| 0.0638     | 0.0670          | 0.9003          | 0.9266       | 0.9133   | 0.9808         | 1     |
| 0.0356     | 0.0668          | 0.9070          | 0.9335       | 0.9201   | 0.9818         | 2     |
| 0.0223     | 0.0660          | 0.9137          | 0.9334       | 0.9234   | 0.9828         | 3     |
| 0.0152     | 0.0750          | 0.9007          | 0.9317       | 0.9159   | 0.9805         | 4     |
| 0.0101     | 0.0736          | 0.9104          | 0.9371       | 0.9235   | 0.9828         | 5     |
| 0.0067     | 0.0740          | 0.9203          | 0.9391       | 0.9296   | 0.9838         | 6     |
| 0.0046     | 0.0767          | 0.9133          | 0.9379       | 0.9254   | 0.9832         | 7     |
| 0.0034     | 0.0806          | 0.9160          | 0.9399       | 0.9278   | 0.9837         | 8     |
| 0.0028     | 0.0797          | 0.9178          | 0.9409       | 0.9292   | 0.9840         | 9     |


### Framework versions

- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3