metadata
language:
- hi
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HI dataset. It achieves the following results on the evaluation set:
- Loss: 0.5878
- Wer: 0.3419
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: 16
- seed: 42
- gradient_accumulation_steps: 4
- 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: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.9859 | 2.72 | 400 | 1.1663 | 0.7948 |
| 1.2969 | 5.44 | 800 | 0.7725 | 0.6562 |
| 1.1954 | 8.16 | 1200 | 0.5940 | 0.4904 |
| 1.164 | 10.88 | 1600 | 0.5338 | 0.4316 |
| 1.1464 | 13.6 | 2000 | 0.5432 | 0.4226 |
| 1.1553 | 16.33 | 2400 | 0.5471 | 0.4260 |
| 1.0985 | 19.05 | 2800 | 0.5290 | 0.4076 |
| 1.0421 | 21.77 | 3200 | 0.5672 | 0.4181 |
| 0.9831 | 24.49 | 3600 | 0.5741 | 0.4141 |
| 0.9827 | 27.21 | 4000 | 0.5754 | 0.4179 |
| 0.9669 | 29.93 | 4400 | 0.5310 | 0.3889 |
| 0.9496 | 32.65 | 4800 | 0.5649 | 0.4062 |
| 0.9112 | 35.37 | 5200 | 0.5738 | 0.3926 |
| 0.8838 | 38.1 | 5600 | 0.5232 | 0.3768 |
| 0.8666 | 40.81 | 6000 | 0.5510 | 0.3852 |
| 0.8366 | 43.54 | 6400 | 0.5436 | 0.3837 |
| 0.7957 | 46.26 | 6800 | 0.5337 | 0.3775 |
| 0.7834 | 48.98 | 7200 | 0.5611 | 0.3844 |
| 0.7685 | 51.7 | 7600 | 0.5710 | 0.4008 |
| 0.7431 | 54.42 | 8000 | 0.5636 | 0.3726 |
| 0.7353 | 57.14 | 8400 | 0.5937 | 0.3836 |
| 0.7001 | 59.86 | 8800 | 0.5815 | 0.3858 |
| 0.6799 | 62.58 | 9200 | 0.5862 | 0.3696 |
| 0.6459 | 65.31 | 9600 | 0.6181 | 0.3762 |
| 0.6121 | 68.03 | 10000 | 0.5637 | 0.3590 |
| 0.5942 | 70.75 | 10400 | 0.6374 | 0.3882 |
| 0.5769 | 73.47 | 10800 | 0.6015 | 0.3640 |
| 0.5689 | 76.19 | 11200 | 0.5669 | 0.3508 |
| 0.5461 | 78.91 | 11600 | 0.5967 | 0.3621 |
| 0.5286 | 81.63 | 12000 | 0.5840 | 0.3605 |
| 0.5057 | 84.35 | 12400 | 0.5848 | 0.3489 |
| 0.482 | 87.07 | 12800 | 0.5860 | 0.3488 |
| 0.4655 | 89.79 | 13200 | 0.5780 | 0.3453 |
| 0.4523 | 92.52 | 13600 | 0.6150 | 0.3532 |
| 0.4422 | 95.24 | 14000 | 0.5930 | 0.3452 |
| 0.4436 | 97.96 | 14400 | 0.5867 | 0.3428 |
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.1.dev0
- Tokenizers 0.11.0