wav2vec2-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.7648
- Accuracy: 0.0265
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 6.0048 | 0.0885 |
| No log | 2.0 | 8 | 5.9068 | 0.0796 |
| 22.7203 | 3.0 | 12 | 5.8321 | 0.0531 |
| 22.7203 | 4.0 | 16 | 5.7832 | 0.0531 |
| 21.4600 | 5.0 | 20 | 5.7648 | 0.0265 |
Framework versions
- Transformers 5.18.0
- Pytorch 2.11.0+cpu
- Datasets 4.8.5
- Tokenizers 0.23.2
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Model tree for suprio/wav2vec2-base-finetuned-ks
Base model
facebook/wav2vec2-base