RADME_fine_f1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3187

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: 5e-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
  • lr_scheduler_warmup_steps: 3
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss
0.3491 0.95 5000 0.3109
0.3082 1.91 10000 0.2880
0.2772 2.86 15000 0.2798
0.2553 3.82 20000 0.2766
0.2424 4.77 25000 0.2758
0.2292 5.72 30000 0.2785
0.2134 6.68 35000 0.2799
0.2021 7.63 40000 0.2853
0.1912 8.59 45000 0.2893
0.182 9.54 50000 0.2959
0.1734 10.49 55000 0.3005
0.1647 11.45 60000 0.3069
0.1581 12.4 65000 0.3123
0.1538 13.36 70000 0.3147
0.1505 14.31 75000 0.3187

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.0.1
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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