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kannada_beekeeping_wav2vec2
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metadata
base_model: Harveenchadha/vakyansh-wav2vec2-kannada-knm-560
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: kannada_beekeeping_wav2vec2
    results: []

kannada_beekeeping_wav2vec2

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-kannada-knm-560 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5026
  • Wer: 0.3540

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: 5

Training results

Training Loss Epoch Step Validation Loss Wer
10.7351 1.21 35 1.7314 0.7609
1.3444 2.41 70 0.7849 0.4993
0.8992 3.62 105 0.6112 0.3857
0.6347 4.83 140 0.5026 0.3540

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1