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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-multilingual-cased-aoe-hyper

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: 0.4021
- Accuracy: 0.8799
- Recall: 0.8013
- Precision: 0.7246
- F1: 0.7610

## 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: 6.292247538797816e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.2696        | 1.0   | 654  | 0.3423          | 0.8699   | 0.6090 | 0.7983    | 0.6909 |
| 0.4222        | 2.0   | 1308 | 0.3537          | 0.8814   | 0.7596 | 0.7476    | 0.7536 |
| 0.3135        | 3.0   | 1962 | 0.3992          | 0.8699   | 0.8205 | 0.6919    | 0.7507 |
| 0.2558        | 4.0   | 2616 | 0.4021          | 0.8799   | 0.8013 | 0.7246    | 0.7610 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3