wav2vec2-large-xls-r-300m-dm32
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7826
- Accuracy: 0.7292
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 22
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.1930 | 34 | 0.6558 | 0.625 |
| No log | 2.3860 | 68 | 0.6781 | 0.6042 |
| No log | 3.5789 | 102 | 0.7024 | 0.4167 |
| 0.7018 | 4.7719 | 136 | 0.6712 | 0.5833 |
| 0.7018 | 5.9649 | 170 | 0.6506 | 0.625 |
| 0.7018 | 7.1579 | 204 | 0.6987 | 0.4375 |
| 0.6854 | 8.3509 | 238 | 0.6089 | 0.6875 |
| 0.6854 | 9.5439 | 272 | 0.5723 | 0.75 |
| 0.6854 | 10.7368 | 306 | 0.5788 | 0.7083 |
| 0.609 | 11.9298 | 340 | 0.6704 | 0.7083 |
| 0.609 | 13.1228 | 374 | 0.6395 | 0.7292 |
| 0.609 | 14.3158 | 408 | 0.6201 | 0.7292 |
| 0.4355 | 15.5088 | 442 | 0.7633 | 0.75 |
| 0.4355 | 16.7018 | 476 | 0.7693 | 0.7083 |
| 0.4355 | 17.8947 | 510 | 0.7872 | 0.6875 |
| 0.4355 | 19.0877 | 544 | 0.7747 | 0.7292 |
| 0.3369 | 20.2807 | 578 | 0.7819 | 0.7292 |
| 0.3369 | 21.4737 | 612 | 0.7826 | 0.7292 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for anirudh512/wav2vec2-large-xls-r-300m-dm32
Base model
facebook/wav2vec2-xls-r-300m