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roberta-base

This model is a fine-tuned model that was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.

  • Problem type: Multi Class Text Classification (emotion detection).

It achieves the following results on the evaluation set:

  • Loss: 0.1613253802061081
  • f1: 0.9413321705151999

Hyperparameters

{
    "epochs": 10,
    "train_batch_size": 16,
    "learning_rate": 3e-5, 
    "weight_decay":0.01,
    "load_best_model_at_end": true,
    "model_name":"roberta-base",
    "do_eval": True,
    "load_best_model_at_end":True
}

Validation Metrics

key value
eval_accuracy 0.941
eval_f1 0.9413321705151999
eval_loss 0.1613253802061081
eval_recall 0.941
eval_precision 0.9419519436781406
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Model size
125M params
Tensor type
I64
·
F32
·

Dataset used to train Jorgeutd/sagemaker-roberta-base-emotion

Evaluation results