S1_M1_R3_Wav2Vec_42738126
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: 0.0012
- Accuracy: 0.9992
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 |
|---|---|---|---|---|
| 0.0121 | 1.0 | 379 | 0.0124 | 0.9977 |
| 0.0151 | 2.0 | 759 | 0.0227 | 0.9953 |
| 0.0006 | 3.0 | 1139 | 0.0008 | 1.0 |
| 0.0116 | 4.0 | 1519 | 0.0067 | 0.9992 |
| 0.0035 | 4.99 | 1895 | 0.0012 | 0.9992 |
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