transformers pytorch tensorboard bert token-classification generated_from_trainer dataset:ncbi_disease license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- ncbi_disease
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-finetuned-ner
  results: []
---

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# bert-finetuned-ner

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the ncbi_disease dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0591

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1127        | 1.0   | 680  | 0.0593          |
| 0.0442        | 2.0   | 1360 | 0.0557          |
| 0.0181        | 3.0   | 2040 | 0.0591          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
