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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_8_0 |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: '' |
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results: [] |
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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-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - HI dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6780 |
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- Wer: 0.3670 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 1500 |
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- num_epochs: 50.0 |
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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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| 2.514 | 2.07 | 400 | 1.4589 | 0.8531 | |
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| 1.4289 | 4.15 | 800 | 0.8940 | 0.6475 | |
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| 1.276 | 6.22 | 1200 | 0.7743 | 0.6089 | |
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| 1.2213 | 8.29 | 1600 | 0.6919 | 0.4973 | |
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| 1.1522 | 10.36 | 2000 | 0.6635 | 0.4588 | |
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| 1.0914 | 12.44 | 2400 | 0.6839 | 0.4586 | |
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| 1.0499 | 14.51 | 2800 | 0.7151 | 0.4467 | |
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| 1.0238 | 16.58 | 3200 | 0.6824 | 0.4436 | |
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| 0.9963 | 18.65 | 3600 | 0.6872 | 0.4437 | |
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| 0.9728 | 20.73 | 4000 | 0.7047 | 0.4244 | |
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| 0.9373 | 22.8 | 4400 | 0.6569 | 0.4189 | |
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| 0.9028 | 24.87 | 4800 | 0.6623 | 0.4094 | |
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| 0.8759 | 26.94 | 5200 | 0.6723 | 0.4152 | |
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| 0.8824 | 29.02 | 5600 | 0.6467 | 0.4017 | |
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| 0.8371 | 31.09 | 6000 | 0.6911 | 0.4080 | |
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| 0.8205 | 33.16 | 6400 | 0.7145 | 0.4063 | |
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| 0.7837 | 35.23 | 6800 | 0.7037 | 0.3930 | |
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| 0.7708 | 37.31 | 7200 | 0.6925 | 0.3840 | |
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| 0.7359 | 39.38 | 7600 | 0.7034 | 0.3829 | |
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| 0.7153 | 41.45 | 8000 | 0.7030 | 0.3794 | |
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| 0.7127 | 43.52 | 8400 | 0.6823 | 0.3761 | |
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| 0.6884 | 45.6 | 8800 | 0.6854 | 0.3711 | |
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| 0.6835 | 47.67 | 9200 | 0.6723 | 0.3665 | |
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| 0.6703 | 49.74 | 9600 | 0.6773 | 0.3668 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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