wav2vec2-large-xls-r-300m-assamese_speech_to_IPA
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0543
- Wer: 0.5975
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: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.4763 | 9.8765 | 400 | 1.0898 | 0.8007 |
| 0.3692 | 19.7531 | 800 | 0.9617 | 0.6628 |
| 0.1187 | 29.6296 | 1200 | 1.0302 | 0.5990 |
| 0.0659 | 39.5062 | 1600 | 1.0543 | 0.5975 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for jayashreedevi2020/wav2vec2-large-xls-r-300m-assamese_speech_to_IPA
Base model
facebook/wav2vec2-xls-r-300m