---
library_name: transformers
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rating-model-xlmr
  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. -->

# rating-model-xlmr

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6431
- Mse: 1.6431
- Mae: 0.8973

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.7357        | 1.0   | 2673 | 1.7156          | 1.7156 | 0.8882 |
| 1.6455        | 2.0   | 5346 | 1.5879          | 1.5879 | 0.9468 |
| 1.6607        | 3.0   | 8019 | 1.6431          | 1.6431 | 0.8973 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3