---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-helpdesk-sentiment
  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. -->

# xlm-roberta-helpdesk-sentiment

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: 0.1923
- Accuracy: 0.9556
- F1: 0.9549

## 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: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 0.88  | 100  | 0.4935          | 0.7889   | 0.7840 |
| No log        | 1.77  | 200  | 0.2955          | 0.8889   | 0.8867 |
| No log        | 2.65  | 300  | 0.1830          | 0.9111   | 0.9093 |
| No log        | 3.54  | 400  | 0.1461          | 0.9444   | 0.9431 |
| 0.5007        | 4.42  | 500  | 0.1554          | 0.9556   | 0.9549 |
| 0.5007        | 5.31  | 600  | 0.1923          | 0.9556   | 0.9549 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3