| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | base_model: distilbert-base-uncased |
| | model-index: |
| | - name: jborras18/qa_bert_catalan |
| | 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. --> |
| |
|
| | # jborras18/qa_bert_catalan |
| |
|
| | 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: 1.4159 |
| | - Train End Logits Accuracy: 0.6381 |
| | - Train Start Logits Accuracy: 0.5826 |
| | - Validation Loss: 1.5331 |
| | - Validation End Logits Accuracy: 0.6169 |
| | - Validation Start Logits Accuracy: 0.5583 |
| | - 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2140, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
| | - training_precision: float32 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
| | |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
| | | 2.3671 | 0.4386 | 0.3832 | 1.6448 | 0.5845 | 0.5326 | 0 | |
| | | 1.5667 | 0.6029 | 0.5472 | 1.5331 | 0.6169 | 0.5583 | 1 | |
| | | 1.4159 | 0.6381 | 0.5826 | 1.5331 | 0.6169 | 0.5583 | 2 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - TensorFlow 2.11.0 |
| | - Datasets 2.10.0 |
| | - Tokenizers 0.13.2 |
| | |
