---
library_name: transformers
base_model: dbmdz/bert-large-cased-finetuned-conll03-english
tags:
- generated_from_trainer
model-index:
- name: bert-large-cased-finetuned-conll03-english-finetuned
  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. -->

# bert-large-cased-finetuned-conll03-english-finetuned

This model is a fine-tuned version of [dbmdz/bert-large-cased-finetuned-conll03-english](https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0801
- eval_precision: 0.8112
- eval_recall: 0.8088
- eval_f1: 0.8100
- eval_accuracy: 0.9892
- eval_runtime: 71.6816
- eval_samples_per_second: 57.156
- eval_steps_per_second: 3.585
- epoch: 3.0
- step: 2316

## 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: 5

### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1