---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-multilingual-sentiment
  results: []
---

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

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: 1.3550
- Accuracy: 0.7609

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7301        | 1.0   | 1065 | 0.7257          | 0.6952   |
| 0.4373        | 2.0   | 2130 | 0.6549          | 0.7450   |
| 0.3726        | 3.0   | 3195 | 0.7610          | 0.7473   |
| 0.1781        | 4.0   | 4260 | 1.0566          | 0.7581   |
| 0.0609        | 5.0   | 5325 | 1.3550          | 0.7609   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0