| | --- |
| | language: |
| | - ha |
| | license: apache-2.0 |
| | tags: |
| | - automatic-speech-recognition |
| | - generated_from_trainer |
| | - ha |
| | - hf-asr-leaderboard |
| | - model_for_talk |
| | - mozilla-foundation/common_voice_8_0 |
| | - robust-speech-event |
| | datasets: |
| | - mozilla-foundation/common_voice_8_0 |
| | model-index: |
| | - name: Akashpb13/Hausa_xlsr |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Common Voice 8 |
| | type: mozilla-foundation/common_voice_8_0 |
| | args: ha |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 0.20614541257934219 |
| | - name: Test CER |
| | type: cer |
| | value: 0.04358048053214061 |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: Robust Speech Event - Dev Data |
| | type: speech-recognition-community-v2/dev_data |
| | args: ha |
| | metrics: |
| | - name: Test WER |
| | type: wer |
| | value: 0.20614541257934219 |
| | - name: Test CER |
| | type: cer |
| | value: 0.04358048053214061 |
| | --- |
| | |
| | # Akashpb13/Hausa_xlsr |
| | |
| | This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) |
| | It achieves the following results on the evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other, and dev datasets): |
| | - Loss: 0.275118 |
| | - Wer: 0.329955 |
| | ## Model description |
| | "facebook/wav2vec2-xls-r-300m" was finetuned. |
| | |
| | ## Intended uses & limitations |
| | More information needed |
| | ## Training and evaluation data |
| | Training data - |
| | Common voice Hausa train.tsv, dev.tsv, invalidated.tsv, reported.tsv and other.tsv |
| | 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 |
| | |
| | ## Training procedure |
| | For creating the training dataset, all possible datasets were appended and 90-10 split was used. |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | |
| | - learning_rate: 0.000096 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 13 |
| | - gradient_accumulation_steps: 2 |
| | - lr_scheduler_type: cosine_with_restarts |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 50 |
| | - mixed_precision_training: Native AMP |
| |
|
| |
|
| | ### Training results |
| |
|
| | | Step | Training Loss | Validation Loss | Wer | |
| | |------|---------------|-----------------|----------| |
| | | 500 | 5.175900 | 2.750914 | 1.000000 | |
| | | 1000 | 1.028700 | 0.338649 | 0.497999 | |
| | | 1500 | 0.332200 | 0.246896 | 0.402241 | |
| | | 2000 | 0.227300 | 0.239640 | 0.395839 | |
| | | 2500 | 0.175000 | 0.239577 | 0.373966 | |
| | | 3000 | 0.140400 | 0.243272 | 0.356095 | |
| | | 3500 | 0.119200 | 0.263761 | 0.365164 | |
| | | 4000 | 0.099300 | 0.265954 | 0.353428 | |
| | | 4500 | 0.084400 | 0.276367 | 0.349693 | |
| | | 5000 | 0.073700 | 0.282631 | 0.343825 | |
| | | 5500 | 0.068000 | 0.282344 | 0.341158 | |
| | | 6000 | 0.064500 | 0.281591 | 0.342491 | |
| |
|
| | |
| | |
| |
|
| | ### Framework versions |
| | - Transformers 4.16.0.dev0 |
| | - Pytorch 1.10.0+cu102 |
| | - Datasets 1.18.3 |
| | - Tokenizers 0.10.3 |
| |
|
| | #### Evaluation Commands |
| |
|
| | 1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
| |
|
| | ```bash |
| | python eval.py --model_id Akashpb13/Hausa_xlsr --dataset mozilla-foundation/common_voice_8_0 --config ha --split test |
| | ``` |
| |
|
| |
|
