| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - recall | |
| - precision | |
| - f1 | |
| model-index: | |
| - name: NL_BERT_michelin_finetuned | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # NL_BERT_michelin_finetuned | |
| This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2675 | |
| - Accuracy: 0.968 | |
| - Recall: 0.1562 | |
| - Precision: 0.5 | |
| - F1: 0.2381 | |
| - Mse: 0.032 | |
| ## 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: 5e-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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1 | Mse | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:| | |
| | 0.1078 | 1.0 | 125 | 0.2461 | 0.969 | 0.0312 | 1.0 | 0.0606 | 0.031 | | |
| | 0.0258 | 2.0 | 250 | 0.2353 | 0.969 | 0.2188 | 0.5385 | 0.3111 | 0.031 | | |
| | 0.0011 | 3.0 | 375 | 0.2675 | 0.968 | 0.1562 | 0.5 | 0.2381 | 0.032 | | |
| ### Framework versions | |
| - Transformers 4.18.0 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |