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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: ''
    results: []

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1893
  • Wer: 0.2003

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: 7.5e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 60.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.4219 3.6 400 3.3127 1.0
3.0399 7.21 800 3.0330 1.0
1.5756 10.81 1200 0.6108 0.5724
1.0995 14.41 1600 0.3091 0.3154
0.9639 18.02 2000 0.2596 0.2841
0.9032 21.62 2400 0.2270 0.2514
0.8145 25.23 2800 0.2172 0.2483
0.7845 28.83 3200 0.2084 0.2333
0.7694 32.43 3600 0.1974 0.2234
0.7333 36.04 4000 0.2020 0.2185
0.693 39.64 4400 0.1947 0.2148
0.6802 43.24 4800 0.1960 0.2102
0.667 46.85 5200 0.1904 0.2072
0.6486 50.45 5600 0.1881 0.2009
0.6339 54.05 6000 0.1877 0.1989
0.6254 57.66 6400 0.1893 0.2003

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.18.2.dev0
  • Tokenizers 0.11.0