my_awesome_mind_model
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: 1.3461
- Accuracy: 0.6417
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0345 | 0.9863 | 54 | 1.9866 | 0.4024 |
| 1.7716 | 1.9817 | 108 | 1.7311 | 0.4533 |
| 1.5297 | 2.9772 | 162 | 1.5755 | 0.5026 |
| 1.4237 | 3.9909 | 217 | 1.3966 | 0.6142 |
| 1.3141 | 4.9680 | 270 | 1.3461 | 0.6417 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3