UNKNOWN UNKNOWN_2 UNKNOWN_3 babies bakery beef beer biscuits body_care butter cats cereal cheese chips chocolate cleaning coffee deodorant diapers dogs eggs electronics energy_drinks feminine_care fish flour fruits grains hair_care honey hygiene ice_cream jams juice kitchen makeup milk mushrooms nuts pasta personal_care pizza pork poultry pulses rice salads sausage seeds soft_drinks spices spirits spreads syrup tea vegetables water wine yoghurt
---
license: mit
tags:
- generated_from_trainer
model-index:
- name: consumer_super
  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. -->

# consumer_super

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results



### Framework versions

- Transformers 4.19.1
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
