ipadsample
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: 0.1599
- Accuracy: 0.9545
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6798 | 1.0 | 6 | 0.6839 | 0.5909 |
0.6145 | 2.0 | 12 | 0.5924 | 0.8182 |
0.507 | 3.0 | 18 | 0.5369 | 0.8636 |
0.4201 | 4.0 | 24 | 0.3362 | 0.9545 |
0.2837 | 5.0 | 30 | 0.2418 | 0.9545 |
0.2155 | 6.0 | 36 | 0.2182 | 0.9545 |
0.2017 | 7.0 | 42 | 0.1632 | 1.0 |
0.1461 | 8.0 | 48 | 0.1419 | 1.0 |
0.1452 | 9.0 | 54 | 0.1583 | 0.9545 |
0.1052 | 10.0 | 60 | 0.1599 | 0.9545 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1
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