---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-multilingual-distillbert-final
  results: []
---

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

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: 0.4666
- Accuracy: 0.9357

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3228        | 1.0   | 13666 | 0.3305          | 0.8978   |
| 0.2373        | 2.0   | 27332 | 0.3219          | 0.9196   |
| 0.1481        | 3.0   | 40998 | 0.3578          | 0.9275   |
| 0.0796        | 4.0   | 54664 | 0.4211          | 0.9336   |
| 0.0297        | 5.0   | 68330 | 0.4666          | 0.9357   |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1