| --- | |
| language: es | |
| tags: | |
| - sagemaker | |
| - roberta | |
| - ruperta | |
| - TextClassification | |
| license: apache-2.0 | |
| datasets: | |
| - IMDbreviews_es | |
| model-index: | |
| - name: {model_name} | |
| results: | |
| - task: | |
| name: Sentiment Analysis | |
| type: sentiment-analysis | |
| dataset: | |
| name: "IMDb Reviews in Spanish" | |
| type: IMDbreviews_es | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.881866 | |
| - name: F1 Score | |
| type: f1 | |
| value: 0.008272 | |
| - name: Precision | |
| type: precision | |
| value: 0.858605 | |
| - name: Recall | |
| type: recall | |
| value: 0.920062 | |
| ## `{model_name}` | |
| This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container. | |
| The base model is RuPERTa-base (uncased) which is a RoBERTa model trained on a uncased version of big Spanish corpus. | |
| It was trained by mrm8488, Manuel Romero. | |
| ## Hyperparameters | |
| {hyperparameters} | |
| ## Usage | |
| ## Results | |
| {eval_results} | |