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gaepago-12
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: 1.7999
- Accuracy: 0.1475
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
---|---|---|---|---|
No log | 1.0 | 9 | 1.7942 | 0.1639 |
1.793 | 2.0 | 18 | 1.7963 | 0.2131 |
1.7897 | 3.0 | 27 | 1.7960 | 0.1475 |
1.7877 | 4.0 | 36 | 1.7961 | 0.1967 |
1.7785 | 5.0 | 45 | 1.7965 | 0.1967 |
1.7736 | 6.0 | 54 | 1.7975 | 0.1803 |
1.7715 | 7.0 | 63 | 1.7970 | 0.2131 |
1.7607 | 8.0 | 72 | 1.7977 | 0.1803 |
1.7619 | 9.0 | 81 | 1.7993 | 0.1803 |
1.7646 | 10.0 | 90 | 1.7999 | 0.1475 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2