versae's picture
update model card README.md
d225756
|
raw
history blame
1.56 kB
metadata
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-large-voxrex-npsc-bokmaal
    results: []

wav2vec2-large-voxrex-npsc-bokmaal

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1311
  • Wer: 0.1038

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: 8.379967082059723e-06
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2127 0.32 500 0.1335 0.1047
0.1976 0.64 1000 0.1309 0.1039
0.1887 0.97 1500 0.1306 0.1040
0.18 1.29 2000 0.1311 0.1038

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu113
  • Datasets 1.18.4.dev0
  • Tokenizers 0.11.0