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# modello_finetuning1

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the swiss_law_area_prediction dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0506
- Precision: 0.9922
- Recall: 0.9902
- F1: 0.9911

## 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: 6e-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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
| 0.0834        | 0.38  | 500  | 0.1812          | 0.9793    | 0.9677 | 0.9730 |
| 0.1029        | 0.76  | 1000 | 0.0973          | 0.9875    | 0.9834 | 0.9854 |
| 0.0066        | 1.15  | 1500 | 0.0647          | 0.9864    | 0.9886 | 0.9875 |
| 0.0008        | 1.53  | 2000 | 0.0619          | 0.9913    | 0.9893 | 0.9902 |
| 0.0003        | 1.91  | 2500 | 0.0506          | 0.9922    | 0.9902 | 0.9911 |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["swiss_law_area_prediction"], "metrics": ["precision", "recall", "f1"], "base_model": "distilbert-base-multilingual-cased", "model-index": [{"name": "modello_finetuning1", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "swiss_law_area_prediction", "type": "swiss_law_area_prediction", "config": "main", "split": "validation", "args": "main"}, "metrics": [{"type": "precision", "value": 0.9922018189992046, "name": "Precision"}, {"type": "recall", "value": 0.9901734200771951, "name": "Recall"}, {"type": "f1", "value": 0.9911413155243709, "name": "F1"}]}]}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer dataset:swiss_law_area_prediction base_model:distilbert-base-multilingual-cased license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us