metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_8_0
model-index:
- name: SHK_Urdu_Fine_Tuned_2
results: []
SHK_Urdu_Fine_Tuned_2
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.3107
- Wer: 0.7347
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 16.3705 | 1.69 | 100 | 4.1962 | 1.0 |
| 3.415 | 3.39 | 200 | 3.2513 | 1.0 |
| 3.2396 | 5.08 | 300 | 3.2481 | 1.0 |
| 3.2109 | 6.78 | 400 | 3.1929 | 1.0 |
| 3.1661 | 8.47 | 500 | 3.1312 | 1.0 |
| 3.1014 | 10.17 | 600 | 3.1059 | 0.9993 |
| 3.0761 | 11.86 | 700 | 3.0239 | 1.0 |
| 2.9687 | 13.56 | 800 | 2.8371 | 1.0 |
| 2.7406 | 15.25 | 900 | 2.4320 | 0.9978 |
| 2.2203 | 16.95 | 1000 | 2.0063 | 0.9834 |
| 1.7338 | 18.64 | 1100 | 1.6290 | 0.8753 |
| 1.3901 | 20.34 | 1200 | 1.4847 | 0.7904 |
| 1.1757 | 22.03 | 1300 | 1.3944 | 0.7649 |
| 1.0581 | 23.73 | 1400 | 1.3455 | 0.7520 |
| 0.9609 | 25.42 | 1500 | 1.3346 | 0.7417 |
| 0.9147 | 27.12 | 1600 | 1.3014 | 0.7339 |
| 0.8662 | 28.81 | 1700 | 1.3107 | 0.7347 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1