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whisper-large-v2-es

zuazo / whisper-large-v2-es

Run on huggingface.co
huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 05 2025
automatic-speech-recognition

Introduction of whisper-large-v2-es

Model Details of whisper-large-v2-es

Whisper Large-V2 Spanish

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_13_0 es dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2544
  • Wer: 4.8949
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: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 20000
Training results
Training Loss Epoch Step Validation Loss Wer
0.0869 2.0 1000 0.1754 6.1516
0.0913 4.0 2000 0.1652 5.7500
0.051 6.0 3000 0.1643 5.7757
0.0391 8.0 4000 0.1881 5.6589
0.0104 10.0 5000 0.2026 5.6211
0.0806 12.01 6000 0.1741 5.7398
0.0077 14.01 7000 0.2119 5.6038
0.0357 16.01 8000 0.1776 5.6147
0.1087 18.01 9000 0.1868 5.5172
0.0401 20.01 10000 0.2014 5.4428
0.0334 22.01 11000 0.1751 5.2824
0.0071 24.01 12000 0.2295 5.2490
0.0374 26.01 13000 0.2098 5.2574
0.0023 28.01 14000 0.2498 5.0418
0.0025 30.01 15000 0.2311 4.9385
0.0006 32.01 16000 0.2544 4.8949
0.0009 34.02 17000 0.2691 5.1246
0.003 36.02 18000 0.2249 5.0277
0.0009 38.02 19000 0.2603 5.0373
0.0008 40.02 20000 0.2657 5.0225
Framework versions
  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Runs of zuazo whisper-large-v2-es on huggingface.co

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

More Information About whisper-large-v2-es huggingface.co Model

More whisper-large-v2-es license Visit here:

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

whisper-large-v2-es huggingface.co

whisper-large-v2-es huggingface.co is an AI model on huggingface.co that provides whisper-large-v2-es's model effect (), which can be used instantly with this zuazo whisper-large-v2-es model. huggingface.co supports a free trial of the whisper-large-v2-es model, and also provides paid use of the whisper-large-v2-es. Support call whisper-large-v2-es model through api, including Node.js, Python, http.

whisper-large-v2-es huggingface.co Url

https://huggingface.co/zuazo/whisper-large-v2-es

zuazo whisper-large-v2-es online free

whisper-large-v2-es huggingface.co is an online trial and call api platform, which integrates whisper-large-v2-es's modeling effects, including api services, and provides a free online trial of whisper-large-v2-es, you can try whisper-large-v2-es online for free by clicking the link below.

zuazo whisper-large-v2-es online free url in huggingface.co:

https://huggingface.co/zuazo/whisper-large-v2-es

whisper-large-v2-es install

whisper-large-v2-es is an open source model from GitHub that offers a free installation service, and any user can find whisper-large-v2-es on GitHub to install. At the same time, huggingface.co provides the effect of whisper-large-v2-es install, users can directly use whisper-large-v2-es installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

whisper-large-v2-es install url in huggingface.co:

https://huggingface.co/zuazo/whisper-large-v2-es

Url of whisper-large-v2-es

whisper-large-v2-es huggingface.co Url

Provider of whisper-large-v2-es huggingface.co

zuazo
ORGANIZATIONS
huggingface.co

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