| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/hubert-base-ls960 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: hubert-finetuned-Ravdess |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # hubert-finetuned-Ravdess |
|
|
| This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1789 |
| - Accuracy: 0.6424 |
|
|
| ## 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: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 8.2195 | 1.0 | 72 | 1.8907 | 0.25 | |
| | 7.5297 | 2.0 | 144 | 1.6556 | 0.4167 | |
| | 6.1705 | 3.0 | 216 | 1.3336 | 0.5764 | |
| | 5.7528 | 4.0 | 288 | 1.1789 | 0.6424 | |
| | 5.1356 | 5.0 | 360 | 1.1437 | 0.6389 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.10.2 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
