distilbert-base-uncased-ner-invoiceSenderRecipient_clean_inv_28_02
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0266
- eval_precision: 0.9595
- eval_recall: 0.9642
- eval_f1: 0.9618
- eval_accuracy: 0.9957
- eval_runtime: 60.7498
- eval_samples_per_second: 271.474
- eval_steps_per_second: 16.971
- epoch: 9.98
- step: 58000
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: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.15.0
- Pytorch 1.13.1
- Datasets 2.3.2
- Tokenizers 0.10.3
