README.md

---

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