wav2vec2-base-finetuned-ks-1732030276
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: 3.6112
- Accuracy: 0.9864
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 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 | Accuracy |
|---|---|---|---|---|
| 4.3871 | 1.0 | 30 | 4.3118 | 0.4025 |
| 4.0801 | 2.0 | 60 | 3.9884 | 0.9119 |
| 3.8412 | 3.0 | 90 | 3.7559 | 0.9738 |
| 3.6837 | 4.0 | 120 | 3.6112 | 0.9864 |
| 3.6168 | 5.0 | 150 | 3.5533 | 0.9864 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for IsField/wav2vec2-base-finetuned-ks-1732030276
Base model
facebook/wav2vec2-base