---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERT_B02
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BERT_B02

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: 0.5303
- Precision: 0.5901
- Recall: 0.6373
- F1: 0.6128
- Accuracy: 0.8529

## 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: 4e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.8874        | 1.0   | 47   | 0.7667          | 0.4130    | 0.364  | 0.3870 | 0.7897   |
| 0.5169        | 2.0   | 94   | 0.5512          | 0.5390    | 0.608  | 0.5714 | 0.8469   |
| 0.3529        | 3.0   | 141  | 0.5238          | 0.5913    | 0.6173 | 0.6040 | 0.8542   |
| 0.2603        | 4.0   | 188  | 0.5243          | 0.5926    | 0.6227 | 0.6073 | 0.8521   |
| 0.2134        | 5.0   | 235  | 0.5303          | 0.5901    | 0.6373 | 0.6128 | 0.8529   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3