---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
base_model: bert-base-uncased
model-index:
- name: finetuned-test-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# finetuned-test-1

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the conll2003 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8192

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8219        | 1.0   | 30   | 2.3343          |
| 2.4148        | 2.0   | 60   | 2.2010          |
| 2.3236        | 3.0   | 90   | 2.1442          |
| 2.2231        | 4.0   | 120  | 2.1651          |
| 2.2171        | 5.0   | 150  | 2.0614          |
| 2.127         | 6.0   | 180  | 2.0405          |
| 2.0748        | 7.0   | 210  | 2.0092          |
| 2.0511        | 8.0   | 240  | 1.9798          |
| 2.0097        | 9.0   | 270  | 1.8662          |
| 1.9969        | 10.0  | 300  | 1.9257          |
| 2.0006        | 11.0  | 330  | 1.9386          |
| 1.9273        | 12.0  | 360  | 1.9357          |
| 1.9177        | 13.0  | 390  | 1.8983          |
| 1.9128        | 14.0  | 420  | 1.8990          |
| 1.8979        | 15.0  | 450  | 1.9037          |
| 1.8721        | 16.0  | 480  | 1.8440          |
| 1.8998        | 17.0  | 510  | 1.8404          |
| 1.8862        | 18.0  | 540  | 1.9193          |
| 1.9133        | 19.0  | 570  | 1.8494          |
| 1.8799        | 20.0  | 600  | 1.8192          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1