metadata
language:
- ur
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UR dataset. It achieves the following results on the evaluation set:
- Loss: 0.9580
- Wer: 0.6520
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: 7.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 50.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.5036 | 1.96 | 100 | 4.0538 | 1.0 |
| 3.3669 | 3.92 | 200 | 3.2041 | 1.0 |
| 3.1499 | 5.88 | 300 | 3.1220 | 1.0 |
| 3.0271 | 7.84 | 400 | 2.9935 | 0.9970 |
| 2.9565 | 9.8 | 500 | 2.9357 | 0.9993 |
| 2.9184 | 11.76 | 600 | 2.9165 | 0.9963 |
| 2.8832 | 13.73 | 700 | 2.8762 | 0.9911 |
| 2.8407 | 15.69 | 800 | 2.8102 | 0.9970 |
| 2.7007 | 17.65 | 900 | 2.4364 | 0.9963 |
| 2.4206 | 19.61 | 1000 | 1.9852 | 0.9421 |
| 2.0699 | 21.57 | 1100 | 1.4849 | 0.8343 |
| 1.8311 | 23.53 | 1200 | 1.3084 | 0.7801 |
| 1.7127 | 25.49 | 1300 | 1.2040 | 0.7446 |
| 1.6239 | 27.45 | 1400 | 1.1359 | 0.7280 |
| 1.5654 | 29.41 | 1500 | 1.0688 | 0.7159 |
| 1.4965 | 31.37 | 1600 | 1.0520 | 0.6985 |
| 1.445 | 33.33 | 1700 | 1.0314 | 0.6878 |
| 1.4095 | 35.29 | 1800 | 1.0063 | 0.6712 |
| 1.3853 | 37.25 | 1900 | 0.9848 | 0.6701 |
| 1.3558 | 39.22 | 2000 | 0.9738 | 0.6731 |
| 1.3415 | 41.18 | 2100 | 0.9656 | 0.6646 |
| 1.3102 | 43.14 | 2200 | 0.9632 | 0.6557 |
| 1.309 | 45.1 | 2300 | 0.9496 | 0.6557 |
| 1.2993 | 47.06 | 2400 | 0.9609 | 0.6550 |
| 1.2695 | 49.02 | 2500 | 0.9604 | 0.6542 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0