---
tags:
- generated_from_keras_callback
model-index:
- name: silviacamplani/distilbert-finetuned-tapt-ner-ai
  results: []
---

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# silviacamplani/distilbert-finetuned-tapt-ner-ai

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9093
- Validation Loss: 0.9177
- Train Precision: 0.3439
- Train Recall: 0.3697
- Train F1: 0.3563
- Train Accuracy: 0.7697
- 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': 350, '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 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 2.5750     | 1.7754          | 0.0             | 0.0          | 0.0      | 0.6480         | 0     |
| 1.6567     | 1.4690          | 0.0             | 0.0          | 0.0      | 0.6480         | 1     |
| 1.3888     | 1.2847          | 0.0             | 0.0          | 0.0      | 0.6480         | 2     |
| 1.2569     | 1.1744          | 0.0526          | 0.0221       | 0.0312   | 0.6751         | 3     |
| 1.1536     | 1.0884          | 0.2088          | 0.1704       | 0.1876   | 0.7240         | 4     |
| 1.0722     | 1.0281          | 0.2865          | 0.2641       | 0.2748   | 0.7431         | 5     |
| 1.0077     | 0.9782          | 0.3151          | 0.3135       | 0.3143   | 0.7553         | 6     |
| 0.9582     | 0.9437          | 0.3254          | 0.3492       | 0.3369   | 0.7661         | 7     |
| 0.9268     | 0.9242          | 0.3381          | 0.3595       | 0.3485   | 0.7689         | 8     |
| 0.9093     | 0.9177          | 0.3439          | 0.3697       | 0.3563   | 0.7697         | 9     |


### Framework versions

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