| | --- |
| | language: |
| | - ur |
| | license: apache-2.0 |
| | tags: |
| | - automatic-speech-recognition |
| | - robust-speech-event |
| | - hf-asr-leaderboard |
| | datasets: |
| | - mozilla-foundation/common_voice_8_0 |
| | metrics: |
| | - wer |
| | - cer |
| | base_model: Harveenchadha/vakyansh-wav2vec2-urdu-urm-60 |
| | model-index: |
| | - name: wav2vec2-urdu-V8-Abid |
| | results: |
| | - task: |
| | type: automatic-speech-recognition |
| | name: Speech Recognition |
| | dataset: |
| | name: Common Voice ur |
| | type: mozilla-foundation/common_voice_8_0 |
| | args: ur |
| | metrics: |
| | - type: wer |
| | value: 44.63 |
| | name: Test WER |
| | - type: cer |
| | value: 18.82 |
| | name: Test CER |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| |
|
| | **🔴Check out my latest URDU ASR model with `25 WER` here ->** [kingabzpro/whisper-large-v3-turbo-urdu](https://huggingface.co/kingabzpro/whisper-large-v3-turbo-urdu) |
| |
|
| | --- |
| |
|
| | # wav2vec2-60-Urdu-V8 |
| |
|
| | This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-urdu-urm-60](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-urdu-urm-60) on the common_voice dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 11.4832 |
| | - Wer: 0.5729 |
| | - Cer: 0.3170 |
| | |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 7.5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 200 |
| | - num_epochs: 50 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
| | | 19.671 | 8.33 | 100 | 7.7671 | 0.8795 | 0.4492 | |
| | | 2.085 | 16.67 | 200 | 9.2759 | 0.6201 | 0.3320 | |
| | | 0.6633 | 25.0 | 300 | 8.7025 | 0.5738 | 0.3104 | |
| | | 0.388 | 33.33 | 400 | 10.2286 | 0.5852 | 0.3128 | |
| | | 0.2822 | 41.67 | 500 | 11.1953 | 0.5738 | 0.3174 | |
| | | 0.2293 | 50.0 | 600 | 11.4832 | 0.5729 | 0.3170 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.16.2 |
| | - Pytorch 1.10.0+cu111 |
| | - Datasets 1.18.3 |
| | - Tokenizers 0.11.0 |
| | |
