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---
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
|