metadata
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-53-urdu
results: []
wav2vec2-large-xlsr-53-urdu
This model is a fine-tuned version of m3hrdadfi/wav2vec2-large-xlsr-persian-v3 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 1.5727
- Wer: 0.6620
- Cer: 0.3166
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
- 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 |
|---|---|---|---|---|---|
| 2.9707 | 8.33 | 100 | 1.2689 | 0.8463 | 0.4373 |
| 0.746 | 16.67 | 200 | 1.2370 | 0.7214 | 0.3486 |
| 0.3719 | 25.0 | 300 | 1.3885 | 0.6908 | 0.3381 |
| 0.2411 | 33.33 | 400 | 1.4780 | 0.6690 | 0.3186 |
| 0.1841 | 41.67 | 500 | 1.5557 | 0.6629 | 0.3241 |
| 0.165 | 50.0 | 600 | 1.5727 | 0.6620 | 0.3166 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3