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metadata
license: apache-2.0
tags:
  - automatic-speech-recognition
  - /workspace/data/hy/noizy_student_3/
  - generated_from_trainer
model-index:
  - name: ''
    results: []

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_3/ - NA dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1827
  • Wer: 0.2389
  • Cer: 0.0427

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: 8e-05
  • train_batch_size: 16
  • eval_batch_size: 64
  • seed: 842
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 3200
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
4.0311 3.51 200 0.7943 0.8981 0.2374
1.4388 7.02 400 0.2546 0.3821 0.0658
1.0949 10.53 600 0.2201 0.3216 0.0573
1.0279 14.04 800 0.2250 0.3271 0.0583
0.9923 17.54 1000 0.2074 0.3111 0.0543
0.972 21.05 1200 0.2165 0.2955 0.0536
0.9587 24.56 1400 0.2064 0.3017 0.0535
0.9421 28.07 1600 0.2062 0.2884 0.0519
0.9189 31.58 1800 0.2014 0.2822 0.0507
0.8919 35.09 2000 0.1952 0.2689 0.0488
0.8615 38.6 2200 0.2020 0.2685 0.0480
0.834 42.11 2400 0.2001 0.2654 0.0467
0.8056 45.61 2600 0.1935 0.2498 0.0448
0.7888 49.12 2800 0.1892 0.2451 0.0446
0.761 52.63 3000 0.1884 0.2432 0.0441
0.742 56.14 3200 0.1827 0.2389 0.0427

Framework versions

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