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w2v-bert-Marathi-large

Anujgr8 / w2v-bert-Marathi-large

Run on huggingface.co
huggingface.co
Total runs: 15
24-hour runs: 0
7-day runs: 4
30-day runs: 9
Model's Last Updated: June 08 2024
automatic-speech-recognition

Introduction of w2v-bert-Marathi-large

Model Details of w2v-bert-Marathi-large

w2v-bert-Marathi-large

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2714
  • Wer: 0.1698
  • Cer: 0.0531
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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 3000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer Cer
2.8852 0.5882 300 0.7826 0.4911 0.1647
0.6243 1.1765 600 0.6280 0.3920 0.1351
0.4901 1.7647 900 0.4369 0.3101 0.0986
0.355 2.3529 1200 0.3922 0.2658 0.0849
0.2943 2.9412 1500 0.3400 0.2371 0.0753
0.2177 3.5294 1800 0.3041 0.2080 0.0646
0.1779 4.1176 2100 0.2906 0.1954 0.0608
0.1299 4.7059 2400 0.2904 0.1779 0.0560
0.0929 5.2941 2700 0.2885 0.1727 0.0537
0.0729 5.8824 3000 0.2714 0.1698 0.0531
Framework versions
  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1

Runs of Anujgr8 w2v-bert-Marathi-large on huggingface.co

15
Total runs
0
24-hour runs
1
3-day runs
4
7-day runs
9
30-day runs

More Information About w2v-bert-Marathi-large huggingface.co Model

More w2v-bert-Marathi-large license Visit here:

https://choosealicense.com/licenses/mit

w2v-bert-Marathi-large huggingface.co

w2v-bert-Marathi-large huggingface.co is an AI model on huggingface.co that provides w2v-bert-Marathi-large's model effect (), which can be used instantly with this Anujgr8 w2v-bert-Marathi-large model. huggingface.co supports a free trial of the w2v-bert-Marathi-large model, and also provides paid use of the w2v-bert-Marathi-large. Support call w2v-bert-Marathi-large model through api, including Node.js, Python, http.

w2v-bert-Marathi-large huggingface.co Url

https://huggingface.co/Anujgr8/w2v-bert-Marathi-large

Anujgr8 w2v-bert-Marathi-large online free

w2v-bert-Marathi-large huggingface.co is an online trial and call api platform, which integrates w2v-bert-Marathi-large's modeling effects, including api services, and provides a free online trial of w2v-bert-Marathi-large, you can try w2v-bert-Marathi-large online for free by clicking the link below.

Anujgr8 w2v-bert-Marathi-large online free url in huggingface.co:

https://huggingface.co/Anujgr8/w2v-bert-Marathi-large

w2v-bert-Marathi-large install

w2v-bert-Marathi-large is an open source model from GitHub that offers a free installation service, and any user can find w2v-bert-Marathi-large on GitHub to install. At the same time, huggingface.co provides the effect of w2v-bert-Marathi-large install, users can directly use w2v-bert-Marathi-large installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

w2v-bert-Marathi-large install url in huggingface.co:

https://huggingface.co/Anujgr8/w2v-bert-Marathi-large

Url of w2v-bert-Marathi-large

w2v-bert-Marathi-large huggingface.co Url

Provider of w2v-bert-Marathi-large huggingface.co

Anujgr8
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huggingface.co

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