hindi_wav2vec2_final_2

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1054
  • Wer: 0.1211

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: 2
  • 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: 10
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Wer
3.7351 10.0 25 0.9007 0.4271
0.5176 20.0 50 0.3738 0.1632
0.3401 30.0 75 0.1954 0.1368
0.1614 40.0 100 0.1054 0.1211

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 1.18.3
  • Tokenizers 0.14.1
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