| --- |
| language: |
| - ckb |
| license: apache-2.0 |
| tags: |
| - automatic-speech-recognition |
| - mozilla-foundation/common_voice_8_0 |
| - generated_from_trainer |
| - ckb |
| - robust-speech-event |
| - model_for_talk |
| datasets: |
| - mozilla-foundation/common_voice_8_0 |
|
|
| model-index: |
| - name: Akashpb13/Central_kurdish_xlsr |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 8 |
| type: mozilla-foundation/common_voice_8_0 |
| args: ckb |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 0.36754389884276845 |
| - name: Test CER |
| type: cer |
| value: 0.07827896768334217 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Robust Speech Event - Dev Data |
| type: speech-recognition-community-v2/dev_data |
| args: ckb |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 0.36754389884276845 |
| - name: Test CER |
| type: cer |
| value: 0.07827896768334217 |
| --- |
| |
| # Akashpb13/xlsr_hungarian_new |
|
|
| 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. |
| It achieves the following results on evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other and dev datasets): |
| - Loss: 0.348580 |
| - Wer: 0.401147 |
| |
| ## Model description |
| "facebook/wav2vec2-xls-r-300m" was finetuned. |
| |
| ## Intended uses & limitations |
| More information needed |
| ## Training and evaluation data |
| Training data - |
| Common voice Central Kurdish 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 train dataset, all possible datasets were appended and 90-10 split was used. |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| |
| - learning_rate: 0.000095637994662983496 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 13 |
| - gradient_accumulation_steps: 2 |
| - lr_scheduler_type: cosine_with_restarts |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 100 |
| - mixed_precision_training: Native AMP |
|
|
|
|
| ### Training results |
|
|
| | Step | Training Loss | Validation Loss | Wer | |
| |-------|---------------|-----------------|----------| |
| | 500 | 5.097800 | 2.190326 | 1.001207 | |
| | 1000 | 0.797500 | 0.331392 | 0.576819 | |
| | 1500 | 0.405100 | 0.262009 | 0.549049 | |
| | 2000 | 0.322100 | 0.248178 | 0.479626 | |
| | 2500 | 0.264600 | 0.258866 | 0.488983 | |
| | 3000 | 0.228300 | 0.261523 | 0.469665 | |
| | 3500 | 0.201000 | 0.270135 | 0.451856 | |
| | 4000 | 0.180900 | 0.279302 | 0.448536 | |
| | 4500 | 0.163800 | 0.280921 | 0.459704 | |
| | 5000 | 0.147300 | 0.319249 | 0.471778 | |
| | 5500 | 0.137600 | 0.289546 | 0.449140 | |
| | 6000 | 0.132000 | 0.311350 | 0.458195 | |
| | 6500 | 0.117100 | 0.316726 | 0.432840 | |
| | 7000 | 0.109200 | 0.302210 | 0.439481 | |
| | 7500 | 0.104900 | 0.325913 | 0.439481 | |
| | 8000 | 0.097500 | 0.329446 | 0.431935 | |
| | 8500 | 0.088600 | 0.345259 | 0.425898 | |
| | 9000 | 0.084900 | 0.342891 | 0.428313 | |
| | 9500 | 0.080900 | 0.353081 | 0.424389 | |
| | 10000 | 0.075600 | 0.347063 | 0.424992 | |
| | 10500 | 0.072800 | 0.330086 | 0.424691 | |
| | 11000 | 0.068100 | 0.350658 | 0.421974 | |
| | 11500 | 0.064700 | 0.342949 | 0.413522 | |
| | 12000 | 0.061500 | 0.341704 | 0.415334 | |
| | 12500 | 0.059500 | 0.346279 | 0.411410 | |
| | 13000 | 0.057400 | 0.349901 | 0.407184 | |
| | 13500 | 0.056400 | 0.347733 | 0.402656 | |
| | 14000 | 0.053300 | 0.344899 | 0.405976 | |
| | 14500 | 0.052900 | 0.346708 | 0.402656 | |
| | 15000 | 0.050600 | 0.344118 | 0.400845 | |
| | 15500 | 0.050200 | 0.348396 | 0.402958 | |
| | 16000 | 0.049800 | 0.348312 | 0.401751 | |
| | 16500 | 0.051900 | 0.348372 | 0.401147 | |
| | 17000 | 0.049800 | 0.348580 | 0.401147 | |
|
|
| |
| |
| ### Framework versions |
| - Transformers 4.16.0.dev0 |
| - Pytorch 1.10.0+cu102 |
| - Datasets 1.17.1.dev0 |
| - 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/Central_kurdish_xlsr --dataset mozilla-foundation/common_voice_8_0 --config ckb --split test |
| ``` |
|
|
|
|
