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

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# distilbert-base-multilingual-cased-finetuned-sentiment-albanian

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: 0.3126
- F1-score: : 0.9393
- Accuracy score: : 0.8902

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score:  | Accuracy score:  |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:----------------:|
| 0.3698        | 1.0   | 149  | 0.3424          | 0.9290     | 0.8675           |
| 0.2995        | 2.0   | 298  | 0.3174          | 0.9362     | 0.8822           |
| 0.251         | 3.0   | 447  | 0.3126          | 0.9393     | 0.8902           |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3