Bajiyo / w2v-bert-2.0-malayalam_mixeddataset_two.0

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Total runs: 7
24-hour runs: 0
7-day runs: 2
30-day runs: 3
Model's Last Updated: April 16 2024
automatic-speech-recognition

Introduction of w2v-bert-2.0-malayalam_mixeddataset_two.0

Model Details of w2v-bert-2.0-malayalam_mixeddataset_two.0

w2v-bert-2.0-malayalam_mixeddataset_two.0

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

  • Loss: 0.1425
  • Wer: 0.1451
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: 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: 500
  • num_epochs: 5
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
1.9341 0.24 300 0.4363 0.5138
0.228 0.47 600 0.3644 0.4847
0.1828 0.71 900 0.2752 0.3807
0.1479 0.95 1200 0.2671 0.3583
0.1213 1.19 1500 0.2291 0.2861
0.1114 1.42 1800 0.2098 0.2754
0.1049 1.66 2100 0.2088 0.2832
0.0962 1.9 2400 0.1789 0.2501
0.0777 2.14 2700 0.1945 0.2371
0.0685 2.37 3000 0.1788 0.2433
0.0663 2.61 3300 0.1707 0.2264
0.0652 2.85 3600 0.1834 0.2227
0.0573 3.08 3900 0.1663 0.2065
0.0445 3.32 4200 0.1479 0.1981
0.0417 3.56 4500 0.1477 0.1779
0.0415 3.8 4800 0.1504 0.1774
0.0368 4.03 5100 0.1407 0.1655
0.0248 4.27 5400 0.1568 0.1672
0.0258 4.51 5700 0.1495 0.1582
0.0227 4.74 6000 0.1460 0.1510
0.0225 4.98 6300 0.1425 0.1451
Framework versions
  • Transformers 4.39.3
  • Pytorch 2.1.1+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

Runs of Bajiyo w2v-bert-2.0-malayalam_mixeddataset_two.0 on huggingface.co

7
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3-day runs
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