---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: silviacamplani/distilbert-base-uncased-finetuned-dapt-ner-ai_data_3labels
  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. -->

# silviacamplani/distilbert-base-uncased-finetuned-dapt-ner-ai_data_3labels

This model is a fine-tuned version of [silviacamplani/distilbert-base-uncased-finetuned-ai_data](https://huggingface.co/silviacamplani/distilbert-base-uncased-finetuned-ai_data) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.6153
- Validation Loss: 0.5610
- Train Precision: 0.0
- Train Recall: 0.0
- Train F1: 0.0
- Train Accuracy: 0.8840
- 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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 60, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 1.6831     | 1.5093          | 0.0031          | 0.0020       | 0.0024   | 0.8573         | 0     |
| 1.3863     | 1.2247          | 0.0             | 0.0          | 0.0      | 0.8839         | 1     |
| 1.1078     | 0.9646          | 0.0             | 0.0          | 0.0      | 0.8840         | 2     |
| 0.8884     | 0.7566          | 0.0             | 0.0          | 0.0      | 0.8840         | 3     |
| 0.7235     | 0.6484          | 0.0             | 0.0          | 0.0      | 0.8840         | 4     |
| 0.6686     | 0.6034          | 0.0             | 0.0          | 0.0      | 0.8840         | 5     |
| 0.6541     | 0.5804          | 0.0             | 0.0          | 0.0      | 0.8840         | 6     |
| 0.6347     | 0.5687          | 0.0             | 0.0          | 0.0      | 0.8840         | 7     |
| 0.6147     | 0.5630          | 0.0             | 0.0          | 0.0      | 0.8840         | 8     |
| 0.6153     | 0.5610          | 0.0             | 0.0          | 0.0      | 0.8840         | 9     |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.6.4
- Datasets 2.1.0
- Tokenizers 0.12.1