| | --- |
| | 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: 2.6626 |
| | - 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 | 2.6436 | 0.0619 | |
| | | No log | 1.87 | 7 | 2.6451 | 0.0708 | |
| | | 2.6316 | 2.93 | 11 | 2.6511 | 0.0708 | |
| | | 2.6316 | 4.0 | 15 | 2.6531 | 0.0619 | |
| | | 2.6316 | 4.8 | 18 | 2.6573 | 0.0442 | |
| | | 2.6145 | 5.87 | 22 | 2.6594 | 0.0354 | |
| | | 2.6145 | 6.93 | 26 | 2.6629 | 0.0265 | |
| | | 2.6052 | 8.0 | 30 | 2.6626 | 0.0265 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.39.3 |
| | - Pytorch 2.2.2 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
