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UGP/out/roberta_results
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Jakub Kaczmarek e1b933bf4d Initial commit
2023-02-16 18:21:17 +01:00
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all_results.json Initial commit 2023-02-16 18:21:17 +01:00
eval_results.json Initial commit 2023-02-16 18:21:17 +01:00
predict_results_None.txt Initial commit 2023-02-16 18:21:17 +01:00
README.md Initial commit 2023-02-16 18:21:17 +01:00

README.md

tags model-index
generated_from_trainer
name results
roberta_results

roberta_results

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

  • eval_loss: 0.2960
  • eval_accuracy: 0.9230
  • eval_runtime: 17.8166
  • eval_samples_per_second: 112.255
  • eval_steps_per_second: 14.032
  • step: 0

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 2500

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.2