| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - minds14 |
| metrics: |
| - accuracy |
| model-index: |
| - name: my_awesome_mind_model |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: minds14 |
| type: minds14 |
| config: en-US |
| split: train |
| args: en-US |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.02654867256637168 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # my_awesome_mind_model |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.6773 |
| - Accuracy: 0.0265 |
| |
| ## 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 | 0.8 | 3 | 2.6470 | 0.0796 | |
| | No log | 1.8667 | 7 | 2.6552 | 0.0531 | |
| | 2.6346 | 2.9333 | 11 | 2.6686 | 0.0531 | |
| | 2.6346 | 4.0 | 15 | 2.6684 | 0.0442 | |
| | 2.6346 | 4.8 | 18 | 2.6727 | 0.0442 | |
| | 2.6189 | 5.8667 | 22 | 2.6744 | 0.0442 | |
| | 2.6189 | 6.9333 | 26 | 2.6765 | 0.0265 | |
| | 2.6137 | 8.0 | 30 | 2.6773 | 0.0265 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.1 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
