| --- |
| language: |
| - ur |
| license: apache-2.0 |
| tags: |
| - automatic-speech-recognition |
| - mozilla-foundation/common_voice_7_0 |
| - generated_from_trainer |
| - sv |
| - robust-speech-event |
| - model_for_talk |
| - hf-asr-leaderboard |
| datasets: |
| - mozilla-foundation/common_voice_7_0 |
| model-index: |
| - name: '' |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 8.0 |
| type: mozilla-foundation/common_voice_8_0 |
| args: ur |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 67.48 |
| --- |
| |
| <!-- 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. --> |
|
|
| # |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - UR dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5614 |
| - Wer: 0.6765 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 1.9115 | 20.83 | 500 | 1.5400 | 0.7280 | |
| | 0.1155 | 41.67 | 1000 | 1.5614 | 0.6765 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.16.0.dev0 |
| - Pytorch 1.10.1+cu102 |
| - Datasets 1.17.1.dev0 |
| - Tokenizers 0.11.0 |
