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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
model-index:
  - name: Goodreads_Books_Reviews_Roberta_53
    results: []

Goodreads_Books_Reviews_Roberta_53

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8038
  • F1: 0.6238
  • Accuracy: 0.6614

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss F1 Accuracy
0.8378 1.0 25313 0.8197 0.6092 0.6538
0.7683 2.0 50626 0.8038 0.6238 0.6614

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1