my_awesome_mind_model3
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: 2.6558
- Accuracy: 0.0531
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.8 | 3 | 2.6411 | 0.0796 |
No log | 1.9333 | 7 | 2.6523 | 0.0354 |
2.6337 | 2.8 | 10 | 2.6576 | 0.0354 |
2.6337 | 3.9333 | 14 | 2.6520 | 0.0619 |
2.6337 | 4.8 | 17 | 2.6551 | 0.0442 |
2.6187 | 5.9333 | 21 | 2.6550 | 0.0531 |
2.6187 | 6.8 | 24 | 2.6555 | 0.0531 |
2.6187 | 7.9333 | 28 | 2.6572 | 0.0531 |
2.614 | 8.5333 | 30 | 2.6558 | 0.0531 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
facebook/wav2vec2-base