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