FrugalAI
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: 0.3650
- Accuracy: 0.9365
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.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: 0.05
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5669 | 0.9998 | 3527 | 0.2941 | 0.9211 |
| 1.3782 | 1.9998 | 7054 | 0.4237 | 0.9216 |
| 1.3008 | 2.9998 | 10581 | 0.4684 | 0.9113 |
| 1.2606 | 3.9998 | 14108 | 0.4323 | 0.9204 |
| 1.0533 | 4.9998 | 17635 | 0.3708 | 0.9331 |
| 0.8921 | 5.9998 | 21162 | 0.3650 | 0.9365 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for CindyDelage/Challenge_HuggingFace_DFG_FrugalAI
Base model
facebook/wav2vec2-base