metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_8_0
model-index:
- name: Fine_Tunning_on_CV_Urdu_dataset
results: []
Fine_Tunning_on_CV_Urdu_dataset
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: 1.2389
- Wer: 0.7380
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 |
|---|---|---|---|---|
| 15.2352 | 1.69 | 100 | 4.0555 | 1.0 |
| 3.3873 | 3.39 | 200 | 3.2521 | 1.0 |
| 3.2387 | 5.08 | 300 | 3.2304 | 1.0 |
| 3.1983 | 6.78 | 400 | 3.1712 | 1.0 |
| 3.1224 | 8.47 | 500 | 3.0883 | 1.0 |
| 3.0782 | 10.17 | 600 | 3.0767 | 0.9996 |
| 3.0618 | 11.86 | 700 | 3.0280 | 1.0 |
| 2.9929 | 13.56 | 800 | 2.8994 | 1.0 |
| 2.785 | 15.25 | 900 | 2.4330 | 1.0 |
| 2.1276 | 16.95 | 1000 | 1.7795 | 0.9517 |
| 1.5544 | 18.64 | 1100 | 1.5101 | 0.8266 |
| 1.2651 | 20.34 | 1200 | 1.4037 | 0.7993 |
| 1.0816 | 22.03 | 1300 | 1.3101 | 0.7638 |
| 0.9817 | 23.73 | 1400 | 1.2855 | 0.7542 |
| 0.9019 | 25.42 | 1500 | 1.2737 | 0.7421 |
| 0.8688 | 27.12 | 1600 | 1.2457 | 0.7435 |
| 0.8293 | 28.81 | 1700 | 1.2389 | 0.7380 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1