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wav2vec2-large-xls-r-300m-hindi-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 2.0956
- Wer: 0.7285
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- 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: 500
- num_epochs: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.247 | 42.11 | 400 | 1.8828 | 0.9513 |
| 0.3283 | 84.21 | 800 | 1.7075 | 0.8399 |
| 0.0915 | 126.32 | 1200 | 1.7553 | 0.7715 |
| 0.0492 | 168.42 | 1600 | 1.8279 | 0.7645 |
| 0.0283 | 210.53 | 2000 | 1.9725 | 0.7970 |
| 0.0176 | 252.63 | 2400 | 1.9678 | 0.7483 |
| 0.013 | 294.74 | 2800 | 1.9957 | 0.7645 |
| 0.0082 | 336.84 | 3200 | 2.1776 | 0.7575 |
| 0.0051 | 378.95 | 3600 | 2.0943 | 0.7506 |
| 0.0039 | 421.05 | 4000 | 2.0855 | 0.7227 |
| 0.0026 | 463.16 | 4400 | 2.0956 | 0.7285 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.13.3
