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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
base_model: BSC-TeMU/roberta-base-bne
model-index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
args: es
metrics:
- type: accuracy
value: 0.9325
name: Accuracy
---
<!-- 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. -->
# roberta-base-bne-finetuned-amazon_reviews_multi
This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2368
- Accuracy: 0.9325
## Model description
Modelo de prueba del curso NLP de 0 a 100 sesion 4
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.1919 | 1.0 | 1250 | 0.1690 | 0.933 |
| 0.0972 | 2.0 | 2500 | 0.2368 | 0.9325 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6