wav2vec2-MYST-demo-dist
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the MYST dataset. It achieves the following results on the evaluation set:
- Loss: 19.7114
- Wer: 1.0
- Cer: 0.9951
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- 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: 500
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 10.3385 | 1.6667 | 40 | 22.9483 | 1.0 | 1.1343 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Aditya3107/wav2vec2-MYST-demo-dist
Base model
facebook/wav2vec2-large-xlsr-53