---
language: es
tags:
- sagemaker
- roberta
- ruperta
- TextClassification
license: apache-2.0
datasets:
- IMDbreviews_es
model-index:
- name: RuPERTa_base_sentiment_analysis_es
  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
## `RuPERTa_base_sentiment_analysis_es`

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

    {
    "epochs": "4",
    "eval_batch_size": "8",
    "fp16": "true",
    "learning_rate": "3e-05",
    "model_name": "\"mrm8488/RuPERTa-base\"",
    "sagemaker_container_log_level": "20",
    "sagemaker_job_name": "\"ruperta-sentiment-analysis-full-p2-2021-12-06-20-32-27\"",
    "sagemaker_program": "\"train.py\"",
    "sagemaker_region": "\"us-east-1\"",
    "sagemaker_submit_directory": "\"s3://edumunozsala-ml-sagemaker/ruperta-sentiment/ruperta-sentiment-analysis-full-p2-2021-12-06-20-32-27/source/sourcedir.tar.gz\"",
    "train_batch_size": "32",
    "train_filename": "\"train_data.pt\"",
    "val_filename": "\"val_data.pt\""
}


## Usage

## Results

epoch = 1.0
eval_accuracy = 0.8629333333333333
eval_f1 = 0.8648790746582545
eval_loss = 0.3160930573940277
eval_mem_cpu_alloc_delta = 0
eval_mem_cpu_peaked_delta = 0
eval_mem_gpu_alloc_delta = 0
eval_mem_gpu_peaked_delta = 94507520
eval_precision = 0.8479381443298969
eval_recall = 0.8825107296137339
eval_runtime = 114.4994
eval_samples_per_second = 32.751