hubert-base-ls960-digit-mask-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: 0.0078
  • Accuracy: 0.9987
  • F1: 0.9987

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: 3

Training results

Training Loss Epoch Step Accuracy F1 Validation Loss
0.0094 1.0 14264 0.9985 0.9985 0.0087
0.0007 2.0 28528 0.9987 0.9987 0.0078
0.0008 3.0 42792 0.9987 0.9987 0.0101

Framework versions

  • Transformers 4.28.1
  • Pytorch 1.13.0
  • Datasets 2.12.0
  • Tokenizers 0.13.2
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Dataset used to train mazkooleg/digit-mask-hubert-base-ls960-ft