patrickvonplaten / hello_2b

huggingface.co
Total runs: 14
24-hour runs: 0
7-day runs: 1
30-day runs: 7
Model's Last Updated: November 04 2021
automatic-speech-recognition

Introduction of hello_2b

Model Details of hello_2b

hello_2b

This model is a fine-tuned version of facebook/wav2vec2-xls-r-2b on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2725
  • Wer: 0.9531
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: 2
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30.0
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
3.1646 0.92 100 3.2106 1.0
0.368 1.85 200 2.9963 1.0
0.2252 2.77 300 2.8078 0.9999
0.1546 3.7 400 2.3458 0.9996
0.1468 4.63 500 2.0086 0.9986
0.1261 5.55 600 1.8269 0.9985
0.1206 6.48 700 1.7347 0.9956
0.1959 7.4 800 1.6819 0.9955
0.0502 8.33 900 1.6809 0.9965
0.0811 9.26 1000 1.6674 0.9916
0.0534 10.18 1100 1.5719 0.9898
0.0402 11.11 1200 1.4620 0.9821
0.057 12.04 1300 1.3015 0.9554
0.0385 12.96 1400 1.3798 0.9600
0.0422 13.88 1500 1.3538 0.9699
0.014 14.81 1600 1.2507 0.9443
0.0232 15.74 1700 1.3318 0.9465
0.0554 16.66 1800 1.2784 0.9462
0.0316 17.59 1900 1.2503 0.9481
0.0524 18.51 2000 1.3920 0.9604
0.0142 19.44 2100 1.4224 0.9698
0.0288 20.37 2200 1.3475 0.9635
0.0106 21.29 2300 1.2232 0.9264
0.0396 22.22 2400 1.3323 0.9615
0.0349 23.15 2500 1.2741 0.9587
0.0121 24.07 2600 1.2671 0.9586
0.0224 24.99 2700 1.3001 0.9611
0.0449 25.92 2800 1.2777 0.9572
0.0186 26.85 2900 1.2766 0.9607
0.0365 27.77 3000 1.2935 0.9598
0.0105 28.7 3100 1.2761 0.9588
0.021 29.63 3200 1.2686 0.9528
Framework versions
  • Transformers 4.13.0.dev0
  • Pytorch 1.10.0
  • Datasets 1.15.2.dev0
  • Tokenizers 0.10.3

Runs of patrickvonplaten hello_2b on huggingface.co

14
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
7
30-day runs

More Information About hello_2b huggingface.co Model

hello_2b huggingface.co

hello_2b huggingface.co is an AI model on huggingface.co that provides hello_2b's model effect (), which can be used instantly with this patrickvonplaten hello_2b model. huggingface.co supports a free trial of the hello_2b model, and also provides paid use of the hello_2b. Support call hello_2b model through api, including Node.js, Python, http.

patrickvonplaten hello_2b online free

hello_2b huggingface.co is an online trial and call api platform, which integrates hello_2b's modeling effects, including api services, and provides a free online trial of hello_2b, you can try hello_2b online for free by clicking the link below.

patrickvonplaten hello_2b online free url in huggingface.co:

https://huggingface.co/patrickvonplaten/hello_2b

hello_2b install

hello_2b is an open source model from GitHub that offers a free installation service, and any user can find hello_2b on GitHub to install. At the same time, huggingface.co provides the effect of hello_2b install, users can directly use hello_2b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

hello_2b install url in huggingface.co:

https://huggingface.co/patrickvonplaten/hello_2b

Url of hello_2b

Provider of hello_2b huggingface.co

patrickvonplaten
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