kensvin / audio_classification

huggingface.co
Total runs: 162
24-hour runs: 0
7-day runs: 158
30-day runs: 154
Model's Last Updated: September 11 2023
audio-classification

Introduction of audio_classification

Model Details of audio_classification

audio_classification

This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6513
  • Accuracy: 0.0708
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: 3e-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
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 0.8 3 2.6439 0.0531
No log 1.87 7 2.6446 0.0708
2.6349 2.93 11 2.6484 0.0885
2.6349 4.0 15 2.6497 0.0885
2.6349 4.8 18 2.6509 0.0796
2.6233 5.87 22 2.6513 0.0708
2.6233 6.93 26 2.6515 0.0708
2.612 8.0 30 2.6513 0.0708
Framework versions
  • Transformers 4.33.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.3

Runs of kensvin audio_classification on huggingface.co

162
Total runs
0
24-hour runs
0
3-day runs
158
7-day runs
154
30-day runs

More Information About audio_classification huggingface.co Model

More audio_classification license Visit here:

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

audio_classification huggingface.co

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

audio_classification huggingface.co Url

https://huggingface.co/kensvin/audio_classification

kensvin audio_classification online free

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

kensvin audio_classification online free url in huggingface.co:

https://huggingface.co/kensvin/audio_classification

audio_classification install

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

audio_classification install url in huggingface.co:

https://huggingface.co/kensvin/audio_classification

Url of audio_classification

audio_classification huggingface.co Url

Provider of audio_classification huggingface.co

kensvin
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Total runs: 45
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Updated: September 28 2023