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# NimonikDistilBERT-multling-frenzhnl-full

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1232
- Accuracy: 0.9623
- Macro Precision: 0.9531
- Macro Recall: 0.9534
- F Score: 0.9533

## 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Macro Precision | Macro Recall | F Score |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------------:|:------------:|:-------:|
| 0.227         | 1.0   | 14771 | 0.1672          | 0.9443   | 0.9361          | 0.9259       | 0.9308  |
| 0.1709        | 2.0   | 29542 | 0.1232          | 0.9623   | 0.9531          | 0.9534       | 0.9533  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "NimonikDistilBERT-multling-frenzhnl-full", "results": []}]}
transformers pytorch tensorboard distilbert text-classification generated_from_trainer base_model:distilbert-base-multilingual-cased license:apache-2.0 autotrain_compatible endpoints_compatible region:us