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w2v-bert-2_7_datasets

Bajiyo / w2v-bert-2_7_datasets

Run on huggingface.co
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Total runs: 5
24-hour runs: -1
7-day runs: -2
30-day runs: -4
Model's Last Updated: September 11 2024
automatic-speech-recognition

Introduction of w2v-bert-2_7_datasets

Model Details of w2v-bert-2_7_datasets

w2v-bert-2_6_datasets

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: 0.3804
  • Wer: 0.2629
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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
1.1149 0.3795 600 0.5531 0.4947
0.2052 0.7590 1200 0.4347 0.4689
0.1576 1.1385 1800 0.3204 0.3717
0.1263 1.5180 2400 0.3928 0.4128
0.1205 1.8975 3000 0.3214 0.3607
0.0993 2.2770 3600 0.3063 0.3514
0.091 2.6565 4200 0.3078 0.3390
0.0877 3.0361 4800 0.2673 0.3165
0.0716 3.4156 5400 0.2798 0.3039
0.0681 3.7951 6000 0.2710 0.2948
0.0592 4.1746 6600 0.2728 0.3072
0.0525 4.5541 7200 0.2828 0.3133
0.0497 4.9336 7800 0.3039 0.3132
0.0402 5.3131 8400 0.2741 0.2832
0.0389 5.6926 9000 0.2837 0.3018
0.0371 6.0721 9600 0.2732 0.2830
0.0286 6.4516 10200 0.2998 0.2794
0.028 6.8311 10800 0.2904 0.2769
0.0232 7.2106 11400 0.3183 0.2752
0.0201 7.5901 12000 0.3045 0.2665
0.0197 7.9696 12600 0.3137 0.2733
0.0139 8.3491 13200 0.3438 0.2670
0.0128 8.7287 13800 0.3385 0.2651
0.0115 9.1082 14400 0.3669 0.2671
0.0079 9.4877 15000 0.3695 0.2613
0.008 9.8672 15600 0.3804 0.2629
Framework versions
  • Transformers 4.44.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of Bajiyo w2v-bert-2_7_datasets on huggingface.co

5
Total runs
-1
24-hour runs
-1
3-day runs
-2
7-day runs
-4
30-day runs

More Information About w2v-bert-2_7_datasets huggingface.co Model

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w2v-bert-2_7_datasets huggingface.co

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Bajiyo w2v-bert-2_7_datasets online free

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w2v-bert-2_7_datasets install

w2v-bert-2_7_datasets is an open source model from GitHub that offers a free installation service, and any user can find w2v-bert-2_7_datasets on GitHub to install. At the same time, huggingface.co provides the effect of w2v-bert-2_7_datasets install, users can directly use w2v-bert-2_7_datasets installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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