metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-Urdu
results: []
wav2vec2-large-xls-r-300m-Urdu
This model is a fine-tuned version of kingabzpro/wav2vec2-urdu on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 4.9192
- Wer: 0.4741
- Cer: 0.2504
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: 7e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.8836 | 16.62 | 50 | 4.7827 | 0.5011 | 0.2625 |
| 0.6992 | 33.31 | 100 | 3.5358 | 0.4882 | 0.2537 |
| 0.6321 | 49.92 | 150 | 4.9054 | 0.4774 | 0.2519 |
| 0.4669 | 66.62 | 200 | 5.9508 | 0.4719 | 0.2513 |
| 0.3119 | 83.31 | 250 | 5.5791 | 0.4745 | 0.2508 |
| 0.2788 | 99.92 | 300 | 4.9192 | 0.4741 | 0.2504 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0