---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: mrmoor/cti-bert-ner
  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. -->

# mrmoor/cti-bert-ner

This model is a fine-tuned version of [mrmoor/cti-bert-mlm](https://huggingface.co/mrmoor/cti-bert-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1491
- Validation Loss: 0.3715
- Epoch: 6

## 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': 2e-05, 'decay_steps': 82800, '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 | Epoch |
|:----------:|:---------------:|:-----:|
| 0.6883     | 0.5161          | 0     |
| 0.4567     | 0.4283          | 1     |
| 0.3420     | 0.3810          | 2     |
| 0.2688     | 0.3845          | 3     |
| 0.2144     | 0.3669          | 4     |
| 0.1788     | 0.3881          | 5     |
| 0.1491     | 0.3715          | 6     |


### Framework versions

- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1