slplab / apac_5sents_QoLT_largev2_FT

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: -1
30-day runs: -2
Model's Last Updated: November 04 2023
automatic-speech-recognition

Introduction of apac_5sents_QoLT_largev2_FT

Model Details of apac_5sents_QoLT_largev2_FT

apac_5sents_QoLT_largev2_FT

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0866
  • Wer: 71.6518
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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 600
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0062 5.54 100 0.0716 70.0893
0.0002 11.11 200 0.0915 71.6518
0.0001 16.65 300 0.0850 71.6518
0.0001 22.22 400 0.0859 71.6518
0.0001 27.76 500 0.0864 71.6518
0.0001 33.32 600 0.0866 71.6518
Framework versions
  • Transformers 4.26.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.11.0
  • Tokenizers 0.13.3

Runs of slplab apac_5sents_QoLT_largev2_FT on huggingface.co

3
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-2
30-day runs

More Information About apac_5sents_QoLT_largev2_FT huggingface.co Model

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https://choosealicense.com/licenses/apache-2.0

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https://huggingface.co/slplab/apac_5sents_QoLT_largev2_FT

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apac_5sents_QoLT_largev2_FT install

apac_5sents_QoLT_largev2_FT is an open source model from GitHub that offers a free installation service, and any user can find apac_5sents_QoLT_largev2_FT on GitHub to install. At the same time, huggingface.co provides the effect of apac_5sents_QoLT_largev2_FT install, users can directly use apac_5sents_QoLT_largev2_FT installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Updated:September 07 2023