---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERT_B07
  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. -->

# BERT_B07

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: 0.2269
- Precision: 0.6290
- Recall: 0.6789
- F1: 0.6530
- Accuracy: 0.9317

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.4974        | 1.0   | 46   | 0.3685          | 0.5057    | 0.4568 | 0.4800 | 0.8932   |
| 0.2353        | 2.0   | 92   | 0.2460          | 0.5996    | 0.6272 | 0.6130 | 0.9252   |
| 0.17          | 3.0   | 138  | 0.2264          | 0.5949    | 0.6421 | 0.6176 | 0.9286   |
| 0.1429        | 4.0   | 184  | 0.2272          | 0.6083    | 0.6720 | 0.6386 | 0.9305   |
| 0.1252        | 5.0   | 230  | 0.2269          | 0.6290    | 0.6789 | 0.6530 | 0.9317   |


### Framework versions

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