metadata
tags:
- generated_from_trainer
model-index:
- name: bert-swe-skills-ner
results: []
bert-swe-skills-ner
This model is a fine-tuned version of KB/bert-base-swedish-cased on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0410
- eval_precision: 0.7989
- eval_recall: 0.8142
- eval_f1: 0.8065
- eval_accuracy: 0.9856
- eval_runtime: 2.9896
- eval_samples_per_second: 101.352
- eval_steps_per_second: 12.711
- epoch: 5.0
- step: 190
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3