susmitabhatt / xlsr-no-mo-nmcpc

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: September 17 2024
automatic-speech-recognition

Introduction of xlsr-no-mo-nmcpc

Model Details of xlsr-no-mo-nmcpc

xlsr-no-mo-nmcpc

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0003
  • Wer: 0.2468
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: 0.0004
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 132
  • num_epochs: 100
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
4.8398 4.1667 200 3.0698 1.0
2.9735 8.3333 400 2.6202 1.0
1.8952 12.5 600 0.5988 0.6128
0.6816 16.6667 800 0.2092 0.4191
0.3621 20.8333 1000 0.0634 0.3383
0.2277 25.0 1200 0.0534 0.3128
0.1648 29.1667 1400 0.0369 0.3021
0.1169 33.3333 1600 0.0165 0.2681
0.1101 37.5 1800 0.0124 0.2489
0.0912 41.6667 2000 0.0088 0.2553
0.066 45.8333 2200 0.0023 0.2489
0.0565 50.0 2400 0.0112 0.2553
0.0465 54.1667 2600 0.0036 0.2511
0.0444 58.3333 2800 0.0028 0.2553
0.0436 62.5 3000 0.0023 0.2511
0.0418 66.6667 3200 0.0009 0.2511
0.0299 70.8333 3400 0.0017 0.2489
0.0246 75.0 3600 0.0006 0.2468
0.0184 79.1667 3800 0.0010 0.2468
0.0163 83.3333 4000 0.0012 0.2532
0.0143 87.5 4200 0.0009 0.2489
0.0149 91.6667 4400 0.0004 0.2468
0.0125 95.8333 4600 0.0003 0.2468
0.0106 100.0 4800 0.0003 0.2468
Framework versions
  • Transformers 4.45.0.dev0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of susmitabhatt xlsr-no-mo-nmcpc on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

More Information About xlsr-no-mo-nmcpc huggingface.co Model

More xlsr-no-mo-nmcpc license Visit here:

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

xlsr-no-mo-nmcpc huggingface.co

xlsr-no-mo-nmcpc huggingface.co is an AI model on huggingface.co that provides xlsr-no-mo-nmcpc's model effect (), which can be used instantly with this susmitabhatt xlsr-no-mo-nmcpc model. huggingface.co supports a free trial of the xlsr-no-mo-nmcpc model, and also provides paid use of the xlsr-no-mo-nmcpc. Support call xlsr-no-mo-nmcpc model through api, including Node.js, Python, http.

susmitabhatt xlsr-no-mo-nmcpc online free

xlsr-no-mo-nmcpc huggingface.co is an online trial and call api platform, which integrates xlsr-no-mo-nmcpc's modeling effects, including api services, and provides a free online trial of xlsr-no-mo-nmcpc, you can try xlsr-no-mo-nmcpc online for free by clicking the link below.

susmitabhatt xlsr-no-mo-nmcpc online free url in huggingface.co:

https://huggingface.co/susmitabhatt/xlsr-no-mo-nmcpc

xlsr-no-mo-nmcpc install

xlsr-no-mo-nmcpc is an open source model from GitHub that offers a free installation service, and any user can find xlsr-no-mo-nmcpc on GitHub to install. At the same time, huggingface.co provides the effect of xlsr-no-mo-nmcpc install, users can directly use xlsr-no-mo-nmcpc installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

xlsr-no-mo-nmcpc install url in huggingface.co:

https://huggingface.co/susmitabhatt/xlsr-no-mo-nmcpc

Url of xlsr-no-mo-nmcpc

xlsr-no-mo-nmcpc huggingface.co Url

Provider of xlsr-no-mo-nmcpc huggingface.co

susmitabhatt
ORGANIZATIONS

Other API from susmitabhatt