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ihanif/pashto-asr-v3

🤗 Hugging Face sourceautomatic-speech-recognitionmit606M params2.4 GBsafetensors✓ 3 checksumsupdated today
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pashto-asr-v3

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1448
  • Wer: 0.1396

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 1300
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
2.9698 0.8089 100 2.8928 0.9991
0.8095 1.6178 200 0.6035 0.4036
0.6152 2.4267 300 0.4857 0.3593
0.3951 3.2356 400 0.4661 0.3505
0.5493 4.0445 500 0.3651 0.2779
0.4588 4.8534 600 0.3244 0.2632
0.3616 5.6623 700 0.2954 0.2490
0.1938 6.4712 800 0.2655 0.2341
0.2047 7.2801 900 0.2510 0.2022
0.2596 8.0890 1000 0.1953 0.1756
0.1871 8.8979 1100 0.1716 0.1642
0.0768 9.7068 1200 0.1559 0.1554
0.1021 10.5157 1300 0.1448 0.1396

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1