wav2vec2-large-xls-r-300m-bengali-lang-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 3.2588
- Wer: 1.0
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: 3e-05
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 6.153 | 1.25 | 250 | 4.4510 | 1.0 |
| 3.4196 | 2.5 | 500 | 3.3959 | 1.0 |
| 3.2964 | 3.75 | 750 | 3.3041 | 1.0 |
| 3.2447 | 5.0 | 1000 | 3.2588 | 1.0 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for sai48/wav2vec2-large-xls-r-300m-bengali-lang-colab
Base model
facebook/wav2vec2-xls-r-300m