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
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