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hubert-base-ls960-digit-mask-false-positive-cv12-ft

This model is a fine-tuned version of facebook/hubert-base-ls960 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0171
  • Accuracy: 0.9981
  • F1: 0.9981

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.0129 1.0000 14264 0.0187 0.9964 0.9964
0.0108 2.0000 28528 0.0171 0.9981 0.9981

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Dataset used to train mazkooleg/digit-mask-false-positive-cv12-hubert-base-ls960-ft