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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
|