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--- |
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language: |
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- myv |
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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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- myv |
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- robust-speech-event |
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- model_for_talk |
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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: wav2vec2-xls-r-myv-a1 |
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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 |
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type: mozilla-foundation/common_voice_8_0 |
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args: myv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.6514672686230248 |
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- name: Test CER |
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type: cer |
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value: 0.17226131905088124 |
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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: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: vot |
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metrics: |
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- name: Test WER |
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type: wer |
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value: NA |
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- name: Test CER |
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type: cer |
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value: NA |
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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_8_0 - MYV dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0356 |
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- Wer: 0.6524 |
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### Evaluation Commands |
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**1. To evaluate on mozilla-foundation/common_voice_8_0 with test split** |
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python eval.py --model_id DrishtiSharma/wav2vec2-xls-r-myv-a1 --dataset mozilla-foundation/common_voice_8_0 --config myv --split test --log_outputs |
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**2. To evaluate on speech-recognition-community-v2/dev_data** |
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Erzya language not found in speech-recognition-community-v2/dev_data |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0004 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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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: 800 |
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- num_epochs: 200.0 |
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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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| 5.649 | 9.62 | 500 | 3.0038 | 1.0 | |
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| 1.6272 | 19.23 | 1000 | 0.7362 | 0.7819 | |
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| 1.1354 | 28.85 | 1500 | 0.6410 | 0.7111 | |
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| 1.0424 | 38.46 | 2000 | 0.6907 | 0.7431 | |
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| 0.9293 | 48.08 | 2500 | 0.7249 | 0.7102 | |
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| 0.8246 | 57.69 | 3000 | 0.7422 | 0.6966 | |
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| 0.7837 | 67.31 | 3500 | 0.7413 | 0.6813 | |
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| 0.7147 | 76.92 | 4000 | 0.7873 | 0.6930 | |
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| 0.6276 | 86.54 | 4500 | 0.8038 | 0.6677 | |
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| 0.6041 | 96.15 | 5000 | 0.8240 | 0.6831 | |
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| 0.5336 | 105.77 | 5500 | 0.8748 | 0.6749 | |
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| 0.4705 | 115.38 | 6000 | 0.9006 | 0.6497 | |
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| 0.43 | 125.0 | 6500 | 0.8954 | 0.6551 | |
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| 0.3859 | 134.62 | 7000 | 0.9074 | 0.6614 | |
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| 0.3342 | 144.23 | 7500 | 0.9693 | 0.6560 | |
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| 0.3155 | 153.85 | 8000 | 1.0073 | 0.6691 | |
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| 0.2673 | 163.46 | 8500 | 1.0170 | 0.6632 | |
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| 0.2409 | 173.08 | 9000 | 1.0304 | 0.6709 | |
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| 0.2189 | 182.69 | 9500 | 0.9965 | 0.6546 | |
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| 0.1973 | 192.31 | 10000 | 1.0360 | 0.6551 | |
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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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### Evaluation Command |
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!python eval.py \ |
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--model_id DrishtiSharma/wav2vec2-large-xls-r-300m-myv-v1 \ |
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--dataset mozilla-foundation/common_voice_8_0 --config myv --split test --log_outputs |
