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my_mind_model
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 2.6450
- Accuracy: 0.0929
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: 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 | 0.73 | 2 | 2.6408 | 0.0752 |
| No log | 1.82 | 5 | 2.6441 | 0.0619 |
| No log | 2.91 | 8 | 2.6435 | 0.0973 |
| 2.6293 | 4.0 | 11 | 2.6446 | 0.0885 |
| 2.6293 | 4.73 | 13 | 2.6449 | 0.0841 |
| 2.6293 | 5.82 | 16 | 2.6463 | 0.0841 |
| 2.6293 | 6.91 | 19 | 2.6452 | 0.0885 |
| 2.6177 | 7.27 | 20 | 2.6450 | 0.0929 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
