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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: wav2vec2-large-xls-r-300m-Urdu
    results: []

wav2vec2-large-xls-r-300m-Urdu

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: 1.5867
  • Wer: 0.6240
  • Cer: 0.2579

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: 0.0003
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
11.1231 8.31 100 3.5275 1.0 1.0
3.4028 16.63 200 3.1164 1.0 1.0
3.1973 24.94 300 2.5590 1.0 1.0
1.3774 33.31 400 1.4729 0.7646 0.3325
0.5427 41.63 500 1.4140 0.6939 0.3001
0.3541 49.94 600 1.4532 0.6580 0.2815
0.26 58.31 700 1.5309 0.6403 0.2726
0.2025 66.63 800 1.5230 0.6310 0.2655
0.171 74.94 900 1.5578 0.6336 0.2632
0.1511 83.31 1000 1.5733 0.6321 0.2635
0.1352 91.63 1100 1.6022 0.6255 0.2608
0.1192 99.94 1200 1.5867 0.6240 0.2579

Framework versions

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