---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: paumena/BioASQ-DistilBERT
  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. -->

# paumena/BioASQ-DistilBERT

This model is a fine-tuned version of [paumena/QA-DistilBERT](https://huggingface.co/paumena/QA-DistilBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4425
- Epoch: 4

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

{'exact_match': 79.16666666666667, 'f1': 82.6398528671149}

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1225, '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}
- training_precision: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 1.2076     | 0     |
| 0.6846     | 1     |
| 0.5395     | 2     |
| 0.4718     | 3     |
| 0.4425     | 4     |


### Framework versions

- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.0
- Tokenizers 0.13.3