|
--- |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: AdwayK/biobert_ncbi_disease_ner_tuned_on_TAC2017 |
|
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. --> |
|
|
|
# AdwayK/biobert_ncbi_disease_ner_tuned_on_TAC2017 |
|
|
|
This model is a fine-tuned version of [ugaray96/biobert_ncbi_disease_ner](https://huggingface.co/ugaray96/biobert_ncbi_disease_ner) on the TAC 2017 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.0343 |
|
- Validation Loss: 0.0679 |
|
- Epoch: 4 |
|
|
|
## 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 975, '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: float32 |
|
|
|
### Training results |
|
|
|
| Train Loss | Validation Loss | Epoch | |
|
|:----------:|:---------------:|:-----:| |
|
| 0.5377 | 0.1269 | 0 | |
|
| 0.0997 | 0.0776 | 1 | |
|
| 0.0621 | 0.0700 | 2 | |
|
| 0.0434 | 0.0757 | 3 | |
|
| 0.0343 | 0.0679 | 4 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.18.0 |
|
- TensorFlow 2.8.0 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.12.1 |
|
|
