slplab / whisper-med-asd_v2

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 2
30-day runs: -1
Model's Last Updated: Tháng sáu 28 2023
automatic-speech-recognition

Introduction of whisper-med-asd_v2

Model Details of whisper-med-asd_v2

whisper-med-asd_v2

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

  • Loss: 0.5457
  • Wer: 37.9455
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: 1000
Training results
Training Loss Epoch Step Validation Loss Wer
0.1323 10.53 100 0.5968 71.875
0.0052 21.05 200 0.7108 77.7778
0.0005 31.58 300 0.7444 81.25
0.0004 42.11 400 0.7615 80.9028
0.0003 52.63 500 0.7780 79.8611
0.0003 63.16 600 0.7941 80.9028
0.0003 73.68 700 0.8077 80.9028
0.0003 84.21 800 0.8194 79.1667
0.0003 94.74 900 0.8276 79.5139
0.0003 105.26 1000 0.8305 79.1667
Framework versions
  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of slplab whisper-med-asd_v2 on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
-1
30-day runs

More Information About whisper-med-asd_v2 huggingface.co Model

More whisper-med-asd_v2 license Visit here:

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

whisper-med-asd_v2 huggingface.co

whisper-med-asd_v2 huggingface.co is an AI model on huggingface.co that provides whisper-med-asd_v2's model effect (), which can be used instantly with this slplab whisper-med-asd_v2 model. huggingface.co supports a free trial of the whisper-med-asd_v2 model, and also provides paid use of the whisper-med-asd_v2. Support call whisper-med-asd_v2 model through api, including Node.js, Python, http.

whisper-med-asd_v2 huggingface.co Url

https://huggingface.co/slplab/whisper-med-asd_v2

slplab whisper-med-asd_v2 online free

whisper-med-asd_v2 huggingface.co is an online trial and call api platform, which integrates whisper-med-asd_v2's modeling effects, including api services, and provides a free online trial of whisper-med-asd_v2, you can try whisper-med-asd_v2 online for free by clicking the link below.

slplab whisper-med-asd_v2 online free url in huggingface.co:

https://huggingface.co/slplab/whisper-med-asd_v2

whisper-med-asd_v2 install

whisper-med-asd_v2 is an open source model from GitHub that offers a free installation service, and any user can find whisper-med-asd_v2 on GitHub to install. At the same time, huggingface.co provides the effect of whisper-med-asd_v2 install, users can directly use whisper-med-asd_v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

whisper-med-asd_v2 install url in huggingface.co:

https://huggingface.co/slplab/whisper-med-asd_v2

Url of whisper-med-asd_v2

whisper-med-asd_v2 huggingface.co Url

Provider of whisper-med-asd_v2 huggingface.co

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Total runs: 0
Run Growth: -4
Growth Rate: 0.00%
Updated:Tháng 9 07 2023