---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: segundaprueba
  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. -->

# segundaprueba

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: 1.7005
- Accuracy: 0.455

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.183         | 0.16   | 20   | 1.4843          | 0.35     |
| 1.34          | 0.32   | 40   | 1.4466          | 0.35     |
| 1.265         | 0.48   | 60   | 1.3036          | 0.39     |
| 1.3107        | 0.64   | 80   | 1.2656          | 0.415    |
| 1.0969        | 0.8    | 100  | 1.2302          | 0.455    |
| 1.1958        | 0.96   | 120  | 1.2676          | 0.465    |
| 1.0183        | 1.12   | 140  | 1.2523          | 0.45     |
| 0.8682        | 1.28   | 160  | 1.2620          | 0.495    |
| 0.9           | 1.44   | 180  | 1.2779          | 0.485    |
| 0.9613        | 1.6    | 200  | 1.5713          | 0.36     |
| 0.9667        | 1.76   | 220  | 1.3170          | 0.465    |
| 1.0284        | 1.92   | 240  | 1.2343          | 0.5      |
| 0.8681        | 2.08   | 260  | 1.2968          | 0.49     |
| 0.7134        | 2.24   | 280  | 1.4032          | 0.44     |
| 0.7311        | 2.4    | 300  | 1.3624          | 0.46     |
| 0.61          | 2.56   | 320  | 1.4416          | 0.44     |
| 0.7033        | 2.7200 | 340  | 1.5110          | 0.46     |
| 0.5881        | 2.88   | 360  | 1.3926          | 0.475    |
| 0.6666        | 3.04   | 380  | 1.3896          | 0.49     |
| 0.4299        | 3.2    | 400  | 1.4787          | 0.47     |
| 0.3613        | 3.36   | 420  | 1.5145          | 0.48     |
| 0.4714        | 3.52   | 440  | 1.5547          | 0.46     |
| 0.4698        | 3.68   | 460  | 1.5584          | 0.44     |
| 0.3191        | 3.84   | 480  | 1.5748          | 0.475    |
| 0.4044        | 4.0    | 500  | 1.7353          | 0.44     |
| 0.2275        | 4.16   | 520  | 1.6115          | 0.46     |
| 0.3171        | 4.32   | 540  | 1.6326          | 0.46     |
| 0.2005        | 4.48   | 560  | 1.6569          | 0.47     |
| 0.3165        | 4.64   | 580  | 1.6955          | 0.46     |
| 0.2543        | 4.8    | 600  | 1.6887          | 0.465    |
| 0.186         | 4.96   | 620  | 1.7005          | 0.455    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1