| | --- |
| | license: apache-2.0 |
| | base_model: facebook/wav2vec2-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - audiofolder |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: my_forgetful_mind_model2 |
| | results: |
| | - task: |
| | name: Audio Classification |
| | type: audio-classification |
| | dataset: |
| | name: audiofolder |
| | type: audiofolder |
| | config: default |
| | split: train |
| | args: default |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.9891304347826086 |
| | --- |
| | |
| | <!-- 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_forgetful_mind_model2 |
| | |
| | This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0529 |
| | - Accuracy: 0.9891 |
| | |
| | ## 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: 11 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-------:|:----:|:---------------:|:--------:| |
| | | 0.6716 | 0.9655 | 14 | 0.6144 | 0.6630 | |
| | | 0.5768 | 2.0 | 29 | 0.2991 | 0.9304 | |
| | | 0.2108 | 2.9655 | 43 | 0.2372 | 0.9130 | |
| | | 0.2452 | 4.0 | 58 | 0.1582 | 0.9565 | |
| | | 0.1006 | 4.9655 | 72 | 0.0831 | 0.9848 | |
| | | 0.0773 | 6.0 | 87 | 0.1206 | 0.9696 | |
| | | 0.0477 | 6.9655 | 101 | 0.0585 | 0.9913 | |
| | | 0.0431 | 8.0 | 116 | 0.0643 | 0.9870 | |
| | | 0.0303 | 8.9655 | 130 | 0.0526 | 0.9891 | |
| | | 0.0336 | 10.0 | 145 | 0.0523 | 0.9891 | |
| | | 0.0285 | 10.6207 | 154 | 0.0529 | 0.9891 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.1 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
