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--- |
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language: |
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- kmr |
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- ku |
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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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- kmr |
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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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base_model: facebook/wav2vec2-xls-r-300m |
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model-index: |
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- name: Akashpb13/xlsr_kurmanji_kurdish |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: 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: kmr |
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metrics: |
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- type: wer |
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value: 0.33073206986250464 |
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name: Test WER |
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- type: cer |
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value: 0.08035244447163924 |
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name: Test CER |
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- task: |
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type: automatic-speech-recognition |
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name: 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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- type: wer |
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value: 0.33073206986250464 |
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name: Test WER |
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- type: cer |
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value: 0.08035244447163924 |
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name: Test CER |
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--- |
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# Akashpb13/xlsr_kurmanji_kurdish |
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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 invalidated data, reported, other, and dev datasets): |
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- Loss: 0.292389 |
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- Wer: 0.388585 |
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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 Kurmanji Kurdish train.tsv, dev.tsv, invalidated.tsv, reported.tsv, and other.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: 16 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 100 |
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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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| 200 | 4.382500 | 3.183725 | 1.000000 | |
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| 400 | 2.870200 | 0.996664 | 0.781117 | |
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| 600 | 0.609900 | 0.333755 | 0.445052 | |
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| 800 | 0.326800 | 0.305729 | 0.403157 | |
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| 1000 | 0.255000 | 0.290734 | 0.391621 | |
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| 1200 | 0.226300 | 0.292389 | 0.388585 | |
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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 1.18.1 |
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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/xlsr_kurmanji_kurdish --dataset mozilla-foundation/common_voice_8_0 --config kmr --split test |
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``` |
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