S1_M1_R2_Wav2Vec_42738111
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0102
- Accuracy: 0.9981
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0096 | 1.0 | 309 | 0.0518 | 0.9866 |
| 0.0012 | 2.0 | 619 | 0.0217 | 0.9952 |
| 0.0007 | 3.0 | 929 | 0.0264 | 0.9942 |
| 0.0005 | 4.0 | 1239 | 0.0085 | 0.9981 |
| 0.0004 | 4.99 | 1545 | 0.0102 | 0.9981 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
facebook/wav2vec2-base