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ihanif/w2v-bert2-pashto-augmented

🤗 Hugging Face sourceautomatic-speech-recognitionmit606M params2.4 GBsafetensors✓ 4 checksumsupdated today
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w2v-bert2-pashto-augmented

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the fleurs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5954
  • Wer: 0.3431

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: 700
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
3.0422 1.1713 100 3.0380 0.9640
2.3141 2.3426 200 2.0336 0.9464
0.7365 3.5139 300 0.6768 0.4520
0.557 4.6852 400 0.6051 0.3913
0.5101 5.8565 500 0.6571 0.3853
0.3803 7.0278 600 0.5946 0.3497
0.2452 8.1991 700 0.5954 0.3431

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1