---
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-test-hyperparamter-test-results-unchecked
  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-test-hyperparamter-test-results-unchecked

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: 0.3312
- Accuracy: 0.9072
- Recall: 0.6316
- Precision: 0.7
- F1: 0.6640

## 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: 1.324640265180116e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 23
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.5941        | 1.0   | 915  | 0.3405          | 0.9050   | 0.5414 | 0.7347    | 0.6234 |
| 0.2929        | 2.0   | 1830 | 0.3312          | 0.9072   | 0.6316 | 0.7       | 0.6640 |
| 0.1391        | 3.0   | 2745 | 0.4197          | 0.9072   | 0.6090 | 0.7105    | 0.6559 |
| 0.3502        | 4.0   | 3660 | 0.4577          | 0.9083   | 0.6241 | 0.7094    | 0.664  |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3