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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: distilroberta-base-mic-sym
    results: []

distilroberta-base-mic-sym

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0023
  • Accuracy: 0.9997
  • F1: 0.9997

Model description

More information needed

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: 2.740146306575944e-05
  • train_batch_size: 128
  • eval_batch_size: 128
  • 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 F1
No log 1.0 188 0.0049 0.9990 0.9990
No log 2.0 376 0.0023 0.9997 0.9997

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.12.0.dev20220422+cu116
  • Datasets 2.1.0
  • Tokenizers 0.12.1