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# huner_ncbi_disease

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the transformer_dataset_ner dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1707
- eval_precision: 0.8094
- eval_recall: 0.8577
- eval_f1: 0.8328
- eval_accuracy: 0.9829
- eval_runtime: 4.904
- eval_samples_per_second: 185.361
- eval_steps_per_second: 23.247
- epoch: 40.0
- step: 26680

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["transformer_dataset_ner"], "base_model": "bert-base-cased", "model-index": [{"name": "huner_ncbi_disease", "results": []}]}
transformers tensorboard safetensors bert token-classification generated_from_trainer dataset:transformer_dataset_ner base_model:bert-base-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us