This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PA-IN dataset. It achieves the following results on the evaluation set:
- Loss: 0.8881
- Wer: 0.4175
Evaluation Commands
- To evaluate on mozilla-foundation/common_voice_8_0 with test split
python eval.py --model_id DrishtiSharma/wav2vec2-xls-r-300m-pa-IN-r5 --dataset mozilla-foundation/common_voice_8_0 --config pa-IN --split test --log_outputs
- To evaluate on speech-recognition-community-v2/dev_data
Punjabi language isn't available in speech-recognition-community-v2/dev_data
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.000111
- train_batch_size: 16
- eval_batch_size: 32
- 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: 2000
- num_epochs: 200.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 10.695 | 18.52 | 500 | 3.5681 | 1.0 |
| 3.2718 | 37.04 | 1000 | 2.3081 | 0.9643 |
| 0.8727 | 55.56 | 1500 | 0.7227 | 0.5147 |
| 0.3349 | 74.07 | 2000 | 0.7498 | 0.4959 |
| 0.2134 | 92.59 | 2500 | 0.7779 | 0.4720 |
| 0.1445 | 111.11 | 3000 | 0.8120 | 0.4594 |
| 0.1057 | 129.63 | 3500 | 0.8225 | 0.4610 |
| 0.0826 | 148.15 | 4000 | 0.8307 | 0.4351 |
| 0.0639 | 166.67 | 4500 | 0.8967 | 0.4316 |
| 0.0528 | 185.19 | 5000 | 0.8875 | 0.4238 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0