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wav2vec2-in-hindi
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6122
- Wer: 1.0343
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: 50
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.586 | 3.17 | 100 | 3.4128 | 1.0 |
| 3.4004 | 6.35 | 200 | 3.3716 | 1.0 |
| 3.3097 | 9.52 | 300 | 3.0612 | 1.0 |
| 1.903 | 12.7 | 400 | 0.8674 | 1.0476 |
| 0.636 | 15.87 | 500 | 0.6154 | 1.0383 |
| 0.3542 | 19.05 | 600 | 0.6023 | 1.0283 |
| 0.2611 | 22.22 | 700 | 0.6086 | 1.0283 |
| 0.2123 | 25.4 | 800 | 0.6135 | 1.0296 |
| 0.1729 | 28.57 | 900 | 0.6221 | 1.0231 |
| 0.1543 | 31.75 | 1000 | 0.6063 | 1.0356 |
| 0.1386 | 34.92 | 1100 | 0.6090 | 1.0258 |
| 0.1248 | 38.1 | 1200 | 0.6122 | 1.0343 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
