| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: elgeish/wav2vec2-large-xlsr-53-arabic |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Wav2Vec-SER |
| 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. --> |
|
|
| # Wav2Vec-SER |
|
|
| This model is a fine-tuned version of [elgeish/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/elgeish/wav2vec2-large-xlsr-53-arabic) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 1.0637 |
| - eval_accuracy: 0.5745 |
| - eval_runtime: 329.6619 |
| - eval_samples_per_second: 13.717 |
| - eval_steps_per_second: 1.717 |
| - epoch: 1.4938 |
| - step: 3800 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - 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: cosine |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
|
| - Transformers 5.13.1 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
