umt5-base-asr
This model is a fine-tuned version of google/umt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 61.5938
- 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 1024
- optimizer: Use OptimizerNames.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_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 9.5449 | 0.9994 | 99 | 73.375 | 1.0 |
| 9.1592 | 1.9893 | 198 | 37.5625 | 1.0023 |
| 9.0479 | 2.9792 | 297 | 63.2812 | 1.0 |
| 8.3572 | 3.9691 | 396 | 41.375 | 1.0 |
| 8.6292 | 4.9590 | 495 | 61.5938 | 1.0 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu124
- Datasets 2.17.1
- Tokenizers 0.21.0
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Base model
google/umt5-base