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

# results

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5702
- Accuracy: 0.7894
- Precision: 0.7913
- Recall: 0.7040
- F1: 0.7144
- Hamming Loss: 0.2106

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     | Hamming Loss |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------------:|
| 1.435         | 1.0   | 1744  | 1.2662          | 0.5627   | 0.6403    | 0.4392 | 0.4707 | 0.4373       |
| 1.19          | 2.0   | 3488  | 1.0175          | 0.6358   | 0.6749    | 0.5311 | 0.5571 | 0.3642       |
| 0.9496        | 3.0   | 5232  | 0.8298          | 0.6934   | 0.7166    | 0.5916 | 0.6132 | 0.3066       |
| 0.8226        | 4.0   | 6976  | 0.7224          | 0.7306   | 0.7447    | 0.6371 | 0.6561 | 0.2694       |
| 0.7113        | 5.0   | 8720  | 0.6609          | 0.7514   | 0.7628    | 0.6583 | 0.6742 | 0.2486       |
| 0.6497        | 6.0   | 10464 | 0.6153          | 0.7724   | 0.7717    | 0.6904 | 0.6980 | 0.2276       |
| 0.5997        | 7.0   | 12208 | 0.5822          | 0.7863   | 0.7945    | 0.6967 | 0.7105 | 0.2137       |
| 0.571         | 8.0   | 13952 | 0.5702          | 0.7894   | 0.7913    | 0.7040 | 0.7144 | 0.2106       |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3