---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09
  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. -->

# VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09

This model is a fine-tuned version of [outputDAQonly09/](https://huggingface.co/outputDAQonly09/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4964
- Accuracy: 0.9068

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 15.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.0196        | 1.0   | 1320  | 3.1691          | 0.4232   |
| 2.5409        | 2.0   | 2640  | 2.0495          | 0.6435   |
| 1.8396        | 3.0   | 3960  | 1.3566          | 0.7861   |
| 1.0986        | 4.0   | 5280  | 0.9565          | 0.8556   |
| 0.6711        | 5.0   | 6600  | 0.7119          | 0.8803   |
| 0.4456        | 6.0   | 7920  | 0.5805          | 0.8912   |
| 0.2563        | 7.0   | 9240  | 0.5124          | 0.8995   |
| 0.1686        | 8.0   | 10560 | 0.4953          | 0.9022   |
| 0.1135        | 9.0   | 11880 | 0.4863          | 0.9022   |
| 0.0846        | 10.0  | 13200 | 0.4893          | 0.9049   |
| 0.07          | 11.0  | 14520 | 0.4860          | 0.9077   |
| 0.0487        | 12.0  | 15840 | 0.4889          | 0.9059   |
| 0.0342        | 13.0  | 17160 | 0.4926          | 0.9068   |
| 0.0332        | 14.0  | 18480 | 0.4951          | 0.9068   |
| 0.029         | 15.0  | 19800 | 0.4964          | 0.9068   |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.10.0
- Datasets 1.16.1
- Tokenizers 0.10.3