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ro-sequence

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

  • Loss: 815.9874
  • Precision: 0.7802
  • Recall: 0.8225
  • F1: 0.8008

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: 4e-05
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 352269
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1
798.342 1.0 125 619.5866 0.7472 0.7369 0.7420
377.8265 2.0 250 521.1552 0.7833 0.7998 0.7915
288.2568 3.0 375 559.4092 0.7469 0.8145 0.7792
192.2052 4.0 500 555.9223 0.8252 0.7889 0.8066
128.4364 5.0 625 719.3274 0.7848 0.8042 0.7944
86.742 6.0 750 797.8254 0.7391 0.8281 0.7811
62.8087 7.0 875 815.9874 0.7802 0.8225 0.8008

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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