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--- |
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language: |
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- mr |
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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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- openslr |
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- generated_from_trainer |
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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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- openslr |
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- shivam/marathi_samanantar_processed |
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- shivam/marathi_pib_processed |
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- opus100 |
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- tatoeba |
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- tapaco |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-mr |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Speech Recognition |
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dataset: |
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type: mozilla-foundation/common_voice_8_0 |
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name: Common Voice 8 |
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args: mr |
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metrics: |
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- type: wer |
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value: 31.05 |
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name: Test WER |
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- name: Test CER |
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type: cer |
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value: 6.82 |
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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 - MR and OPENSLR - SLR64 - MR datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.494580 |
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- Wer: 0.401524 |
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### Eval results on Common Voice 8 "test" (WER): |
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| Without LM | With LM | |
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|---|---| |
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| 40.513437625350984 | 31.04693140794224 | |
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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: 0.0001 |
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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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- gradient_accumulation_steps: 2 |
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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: 1000 |
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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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| Step | Training Loss | Validation Loss | Wer | |
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|---|---|---|---| |
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| 400 | 3.794000 | 3.532227 | 1.000000 | |
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| 800 | 3.362400 | 3.359044 | 1.000000 | |
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| 1200 | 2.293900 | 1.011279 | 0.829924 | |
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| 1600 | 1.233000 | 0.502743 | 0.593662 | |
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| 2000 | 0.962600 | 0.412519 | 0.496992 | |
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| 2400 | 0.831800 | 0.402903 | 0.493783 | |
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| 2800 | 0.737000 | 0.389773 | 0.469314 | |
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| 3200 | 0.677100 | 0.373987 | 0.436021 | |
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| 3600 | 0.634400 | 0.383823 | 0.432010 | |
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| 4000 | 0.586000 | 0.375610 | 0.419575 | |
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| 4400 | 0.561000 | 0.387891 | 0.418371 | |
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| 4800 | 0.518500 | 0.386357 | 0.417569 | |
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| 5200 | 0.515300 | 0.415069 | 0.430004 | |
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| 5600 | 0.478100 | 0.399211 | 0.408744 | |
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| 6000 | 0.468100 | 0.424542 | 0.402327 | |
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| 6400 | 0.439400 | 0.430979 | 0.410750 | |
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| 6800 | 0.429600 | 0.427700 | 0.409146 | |
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| 7200 | 0.400300 | 0.451111 | 0.419976 | |
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| 7600 | 0.395100 | 0.463446 | 0.405134 | |
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| 8000 | 0.381800 | 0.454752 | 0.407942 | |
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| 8400 | 0.371500 | 0.461547 | 0.404733 | |
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| 8800 | 0.362500 | 0.461543 | 0.411151 | |
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| 9200 | 0.338200 | 0.468299 | 0.417168 | |
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| 9600 | 0.338800 | 0.480989 | 0.412355 | |
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| 10000 | 0.317600 | 0.475700 | 0.410750 | |
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| 10400 | 0.315100 | 0.478920 | 0.403530 | |
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| 10800 | 0.296200 | 0.480600 | 0.398315 | |
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| 11200 | 0.299000 | 0.477083 | 0.393502 | |
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| 11600 | 0.290000 | 0.465646 | 0.393903 | |
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| 12000 | 0.290900 | 0.490041 | 0.405937 | |
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| 12400 | 0.275600 | 0.489354 | 0.399519 | |
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| 12800 | 0.272600 | 0.494580 | 0.395909 | |
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| 13200 | 0.265900 | 0.497918 | 0.397112 | |
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| 13600 | 0.266300 | 0.498627 | 0.397513 | |
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| 14000 | 0.259600 | 0.504610 | 0.401524 | |
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#### Evaluation Commands |
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To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
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```bash |
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python eval.py --model_id smangrul/xls-r-mr-model --dataset mozilla-foundation/common_voice_8_0 --config mr --split test |
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``` |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 1.18.3.dev0 |
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- Tokenizers 0.11.0 |
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