---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-multilingual-cased-finetuned-imdb-v2
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mvgdr/ajuste-modelo-linguagem-por-mascaramento-v2/runs/c4h6uyvn)
# distilbert-base-multilingual-cased-finetuned-imdb-v2

This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2042
- Model Preparation Time: 0.0

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|
| 2.6967        | 1.0   | 259  | 2.4319          | 0.0                    |
| 2.5156        | 2.0   | 518  | 2.3565          | 0.0                    |
| 2.4422        | 3.0   | 777  | 2.3096          | 0.0                    |
| 2.4045        | 4.0   | 1036 | 2.2846          | 0.0                    |
| 2.3612        | 5.0   | 1295 | 2.2520          | 0.0                    |
| 2.3413        | 6.0   | 1554 | 2.2347          | 0.0                    |
| 2.3211        | 7.0   | 1813 | 2.2225          | 0.0                    |
| 2.3099        | 8.0   | 2072 | 2.2142          | 0.0                    |
| 2.2957        | 9.0   | 2331 | 2.2033          | 0.0                    |
| 2.2919        | 10.0  | 2590 | 2.1960          | 0.0                    |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0