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--- |
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language: |
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- ur |
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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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- ur |
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- robust-speech-event |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_8_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 8.0 |
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type: mozilla-foundation/common_voice_8_0 |
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args: ur |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 62.47 |
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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-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8888 |
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- Wer: 0.6642 |
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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: 7.5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 50 |
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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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| 10.1224 | 1.96 | 100 | 3.5429 | 1.0 | |
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| 3.2411 | 3.92 | 200 | 3.1786 | 1.0 | |
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| 3.1283 | 5.88 | 300 | 3.0571 | 1.0 | |
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| 3.0044 | 7.84 | 400 | 2.9560 | 0.9996 | |
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| 2.9388 | 9.8 | 500 | 2.8977 | 1.0011 | |
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| 2.86 | 11.76 | 600 | 2.6944 | 0.9952 | |
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| 2.5538 | 13.73 | 700 | 2.0967 | 0.9435 | |
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| 2.1214 | 15.69 | 800 | 1.4816 | 0.8428 | |
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| 1.8136 | 17.65 | 900 | 1.2459 | 0.8048 | |
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| 1.6795 | 19.61 | 1000 | 1.1232 | 0.7649 | |
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| 1.5571 | 21.57 | 1100 | 1.0510 | 0.7432 | |
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| 1.4975 | 23.53 | 1200 | 1.0298 | 0.6963 | |
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| 1.4485 | 25.49 | 1300 | 0.9775 | 0.7074 | |
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| 1.3924 | 27.45 | 1400 | 0.9798 | 0.6956 | |
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| 1.3604 | 29.41 | 1500 | 0.9345 | 0.7092 | |
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| 1.3224 | 31.37 | 1600 | 0.9535 | 0.6830 | |
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| 1.2816 | 33.33 | 1700 | 0.9178 | 0.6679 | |
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| 1.2623 | 35.29 | 1800 | 0.9249 | 0.6679 | |
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| 1.2421 | 37.25 | 1900 | 0.9124 | 0.6734 | |
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| 1.2208 | 39.22 | 2000 | 0.8962 | 0.6664 | |
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| 1.2145 | 41.18 | 2100 | 0.8903 | 0.6734 | |
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| 1.1888 | 43.14 | 2200 | 0.8883 | 0.6708 | |
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| 1.1933 | 45.1 | 2300 | 0.8928 | 0.6723 | |
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| 1.1838 | 47.06 | 2400 | 0.8868 | 0.6679 | |
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| 1.1634 | 49.02 | 2500 | 0.8886 | 0.6657 | |
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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 1.18.3 |
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- Tokenizers 0.11.0 |
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