dmusingu / luganda_wav2vec2_ctc

huggingface.co
Total runs: 17
24-hour runs: 2
7-day runs: 6
30-day runs: 13
Model's Last Updated: February 24 2024
automatic-speech-recognition

Introduction of luganda_wav2vec2_ctc

Model Details of luganda_wav2vec2_ctc

luganda_wav2vec2_ctc

This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_7_0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7622
  • Wer: 0.5422
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: 0.0001
  • train_batch_size: 48
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 60
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
4.2675 3.6 500 1.9999 0.9999
0.5754 7.19 1000 0.6976 0.7050
0.231 10.79 1500 0.6153 0.6440
0.1557 14.39 2000 0.6581 0.6130
0.1221 17.99 2500 0.6718 0.6063
0.1013 21.58 3000 0.6711 0.5934
0.0871 25.18 3500 0.6728 0.5731
0.0751 28.78 4000 0.6729 0.5726
0.0666 32.37 4500 0.6884 0.5689
0.0604 35.97 5000 0.7452 0.5609
0.0543 39.57 5500 0.7302 0.5616
0.0488 43.17 6000 0.7414 0.5480
0.0448 46.76 6500 0.7662 0.5560
0.042 50.36 7000 0.7629 0.5433
0.038 53.96 7500 0.7582 0.5479
0.0353 57.55 8000 0.7622 0.5422
Framework versions
  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2

Runs of dmusingu luganda_wav2vec2_ctc on huggingface.co

17
Total runs
2
24-hour runs
2
3-day runs
6
7-day runs
13
30-day runs

More Information About luganda_wav2vec2_ctc huggingface.co Model

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luganda_wav2vec2_ctc huggingface.co is an AI model on huggingface.co that provides luganda_wav2vec2_ctc's model effect (), which can be used instantly with this dmusingu luganda_wav2vec2_ctc model. huggingface.co supports a free trial of the luganda_wav2vec2_ctc model, and also provides paid use of the luganda_wav2vec2_ctc. Support call luganda_wav2vec2_ctc model through api, including Node.js, Python, http.

luganda_wav2vec2_ctc huggingface.co Url

https://huggingface.co/dmusingu/luganda_wav2vec2_ctc

dmusingu luganda_wav2vec2_ctc online free

luganda_wav2vec2_ctc huggingface.co is an online trial and call api platform, which integrates luganda_wav2vec2_ctc's modeling effects, including api services, and provides a free online trial of luganda_wav2vec2_ctc, you can try luganda_wav2vec2_ctc online for free by clicking the link below.

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https://huggingface.co/dmusingu/luganda_wav2vec2_ctc

luganda_wav2vec2_ctc install

luganda_wav2vec2_ctc is an open source model from GitHub that offers a free installation service, and any user can find luganda_wav2vec2_ctc on GitHub to install. At the same time, huggingface.co provides the effect of luganda_wav2vec2_ctc install, users can directly use luganda_wav2vec2_ctc installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

luganda_wav2vec2_ctc install url in huggingface.co:

https://huggingface.co/dmusingu/luganda_wav2vec2_ctc

Url of luganda_wav2vec2_ctc

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