readme: ---
  tags:
  - generated_from_keras_callback
  model-index:
  - name: silviacamplani/distilbert-finetuned-tapt-ner-ai
    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-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
  