RADME_fine_f2

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

  • Loss: 0.3229

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
0.3451 0.95 5000 0.3071
0.3005 1.91 10000 0.2879
0.2738 2.86 15000 0.2796
0.2572 3.81 20000 0.2768
0.2382 4.77 25000 0.2778
0.2262 5.72 30000 0.2770
0.2111 6.68 35000 0.2810
0.199 7.63 40000 0.2881
0.1896 8.58 45000 0.2940
0.1799 9.54 50000 0.2986
0.1702 10.49 55000 0.3054
0.1631 11.44 60000 0.3095
0.1555 12.4 65000 0.3157
0.1503 13.35 70000 0.3199
0.1478 14.3 75000 0.3229

Framework versions

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