metadata

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: []

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

This model is a fine-tuned version of 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