---
license: cc-by-sa-4.0
base_model: classla/xlm-roberta-base-multilingual-text-genre-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: movie-genre-predictions
  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. -->

# movie-genre-predictions

This model is a fine-tuned version of [classla/xlm-roberta-base-multilingual-text-genre-classifier](https://huggingface.co/classla/xlm-roberta-base-multilingual-text-genre-classifier) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8254
- Accuracy: 0.4039

## 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: 1e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.0066        | 1.0   | 580  | 1.7868          | 0.3721   |
| 1.776         | 2.0   | 1160 | 1.7651          | 0.3909   |
| 1.686         | 3.0   | 1740 | 1.6970          | 0.4086   |
| 1.6282        | 4.0   | 2320 | 1.6960          | 0.4098   |
| 1.5714        | 5.0   | 2900 | 1.6749          | 0.4137   |
| 1.516         | 6.0   | 3480 | 1.6763          | 0.4142   |
| 1.4244        | 7.0   | 4060 | 1.7029          | 0.4159   |
| 1.3822        | 8.0   | 4640 | 1.7114          | 0.4143   |
| 1.3422        | 9.0   | 5220 | 1.7400          | 0.4131   |
| 1.3099        | 10.0  | 5800 | 1.7681          | 0.4084   |
| 1.2757        | 11.0  | 6380 | 1.7830          | 0.4049   |
| 1.2489        | 12.0  | 6960 | 1.7978          | 0.4050   |
| 1.2039        | 13.0  | 7540 | 1.8142          | 0.4058   |
| 1.1839        | 14.0  | 8120 | 1.8243          | 0.4044   |
| 1.1641        | 15.0  | 8700 | 1.8254          | 0.4039   |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1