---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Thrisulk/distilbert-base-uncased-finetuned-ner
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
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# Thrisulk/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: 0.0353
- Validation Loss: 0.0596
- Train Precision: 0.9199
- Train Recall: 0.9337
- Train F1: 0.9267
- Train Accuracy: 0.9829
- Epoch: 2

## 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': 2631, '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 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.2022     | 0.0724          | 0.9070          | 0.9161       | 0.9115   | 0.9795         | 0     |
| 0.0563     | 0.0615          | 0.9181          | 0.9304       | 0.9242   | 0.9821         | 1     |
| 0.0353     | 0.0596          | 0.9199          | 0.9337       | 0.9267   | 0.9829         | 2     |


### Framework versions

- Transformers 4.41.1
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1