---
license: cc-by-4.0
base_model: qanastek/XLMRoberta-Alexa-Intents-Classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: intent_classification_model_fix
  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. -->

# intent_classification_model_fix

This model is a fine-tuned version of [qanastek/XLMRoberta-Alexa-Intents-Classification](https://huggingface.co/qanastek/XLMRoberta-Alexa-Intents-Classification) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1868
- Accuracy: 0.9773

## 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: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 4.0   | 208  | 1.1635          | 0.7728   |
| No log        | 8.0   | 416  | 0.4652          | 0.9158   |
| 1.1894        | 12.0  | 624  | 0.2790          | 0.9546   |
| 1.1894        | 16.0  | 832  | 0.2050          | 0.9735   |
| 0.4709        | 20.0  | 1040 | 0.1868          | 0.9773   |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1