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# VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog

This model is a fine-tuned version of [outputDA/checkpoint-7710](https://huggingface.co/outputDA/checkpoint-7710) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5025
- Accuracy: 0.9077

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.9925        | 1.0   | 1320  | 3.0954          | 0.4223   |
| 2.5041        | 2.0   | 2640  | 1.9762          | 0.6563   |
| 1.8061        | 3.0   | 3960  | 1.3196          | 0.7952   |
| 1.0694        | 4.0   | 5280  | 0.9304          | 0.8510   |
| 0.6479        | 5.0   | 6600  | 0.6875          | 0.8821   |
| 0.4408        | 6.0   | 7920  | 0.5692          | 0.8976   |
| 0.2542        | 7.0   | 9240  | 0.5291          | 0.8949   |
| 0.1709        | 8.0   | 10560 | 0.5038          | 0.9059   |
| 0.1181        | 9.0   | 11880 | 0.4885          | 0.9049   |
| 0.0878        | 10.0  | 13200 | 0.4900          | 0.9049   |
| 0.0702        | 11.0  | 14520 | 0.4930          | 0.9086   |
| 0.0528        | 12.0  | 15840 | 0.4987          | 0.9113   |
| 0.0406        | 13.0  | 17160 | 0.5009          | 0.9113   |
| 0.0321        | 14.0  | 18480 | 0.5017          | 0.9104   |
| 0.0308        | 15.0  | 19800 | 0.5025          | 0.9077   |


### Framework versions

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

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialog", "results": []}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 

VaccinChatSentenceClassifierDutch\_fromBERTje2\_DAdialog
========================================================


This model is a fine-tuned version of outputDA/checkpoint-7710 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5025
* Accuracy: 0.9077


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



### Framework versions


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



### 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 ### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.10.0
* Datasets 1.16.1
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.13.0.dev0
* Pytorch 1.10.0
* Datasets 1.16.1
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
### 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### Framework versions


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