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--- |
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language: |
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- hi |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_7_0 |
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- robust-speech-event |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_7_0 |
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model-index: |
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- name: '' |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 7.0 |
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type: mozilla-foundation/common_voice_7_0 |
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args: hi |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 38.18 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7346 |
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- Wer: 1.0479 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 8000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.36 | 400 | 1.4595 | 1.0039 | |
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| 4.7778 | 2.71 | 800 | 0.8082 | 1.0115 | |
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| 0.6408 | 4.07 | 1200 | 0.7032 | 1.0079 | |
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| 0.3937 | 5.42 | 1600 | 0.6889 | 1.0433 | |
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| 0.3 | 6.78 | 2000 | 0.6820 | 1.0069 | |
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| 0.3 | 8.14 | 2400 | 0.6670 | 1.0196 | |
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| 0.226 | 9.49 | 2800 | 0.7216 | 1.0422 | |
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| 0.197 | 10.85 | 3200 | 0.7669 | 1.0534 | |
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| 0.165 | 12.2 | 3600 | 0.7517 | 1.0200 | |
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| 0.1486 | 13.56 | 4000 | 0.7125 | 1.0357 | |
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| 0.1486 | 14.92 | 4400 | 0.7447 | 1.0347 | |
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| 0.122 | 16.27 | 4800 | 0.6899 | 1.0440 | |
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| 0.1069 | 17.63 | 5200 | 0.7212 | 1.0350 | |
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| 0.0961 | 18.98 | 5600 | 0.7417 | 1.0408 | |
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| 0.086 | 20.34 | 6000 | 0.7402 | 1.0356 | |
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| 0.086 | 21.69 | 6400 | 0.7761 | 1.0420 | |
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| 0.0756 | 23.05 | 6800 | 0.7346 | 1.0369 | |
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| 0.0666 | 24.41 | 7200 | 0.7506 | 1.0449 | |
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| 0.0595 | 25.76 | 7600 | 0.7319 | 1.0476 | |
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| 0.054 | 27.12 | 8000 | 0.7346 | 1.0479 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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