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--- |
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language: |
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- sw |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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- model_for_talk |
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- mozilla-foundation/common_voice_8_0 |
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- robust-speech-event |
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- sw |
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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: Akashpb13/Swahili_xlsr |
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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: sw |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.11763625454589981 |
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- name: Test CER |
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type: cer |
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value: 0.02884228669922436 |
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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: kmr |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.11763625454589981 |
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- name: Test CER |
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type: cer |
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value: 0.02884228669922436 |
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--- |
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# Akashpb13/Swahili_xlsr |
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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 - hu dataset. |
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It achieves the following results on the evaluation set (which is 10 percent of train data set merged with dev datasets): |
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- Loss: 0.159032 |
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- Wer: 0.187934 |
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## Model description |
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"facebook/wav2vec2-xls-r-300m" was finetuned. |
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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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Training data - |
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Common voice Hausa train.tsv and dev.tsv |
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Only those points were considered where upvotes were greater than downvotes and duplicates were removed after concatenation of all the datasets given in common voice 7.0 |
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## Training procedure |
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For creating the training dataset, all possible datasets were appended and 90-10 split was used. |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.000096 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 13 |
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- gradient_accumulation_steps: 2 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 80 |
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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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| 500 | 4.810000 | 2.168847 | 0.995747 | |
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| 1000 | 0.564200 | 0.209411 | 0.303485 | |
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| 1500 | 0.217700 | 0.153959 | 0.239534 | |
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| 2000 | 0.150700 | 0.139901 | 0.216327 | |
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| 2500 | 0.119400 | 0.137543 | 0.208828 | |
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| 3000 | 0.099500 | 0.140921 | 0.203045 | |
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| 3500 | 0.087100 | 0.138835 | 0.199649 | |
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| 4000 | 0.074600 | 0.141297 | 0.195844 | |
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| 4500 | 0.066600 | 0.148560 | 0.194127 | |
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| 5000 | 0.060400 | 0.151214 | 0.194388 | |
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| 5500 | 0.054400 | 0.156072 | 0.192187 | |
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| 6000 | 0.051100 | 0.154726 | 0.190322 | |
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| 6500 | 0.048200 | 0.159847 | 0.189538 | |
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| 7000 | 0.046400 | 0.158727 | 0.188307 | |
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| 7500 | 0.046500 | 0.159032 | 0.187934 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 1.18.3 |
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- Tokenizers 0.10.3 |
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#### Evaluation Commands |
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1. 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 Akashpb13/Swahili_xlsr --dataset mozilla-foundation/common_voice_8_0 --config sw --split test |
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``` |
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