| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - Dhivehi |
| model-index: |
| - name: whisper-small-dv-full |
| results: [] |
| language: |
| - dv |
| datasets: |
| - alakxender/dv-audio-syn-lg |
| --- |
| |
| <!-- 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. --> |
|
|
| # whisper-small-dv-full |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the arrow dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.0273 |
| - eval_wer_ortho: 15.8343 |
| - eval_wer: 2.3726 |
| - eval_runtime: 11624.8972 |
| - eval_samples_per_second: 3.774 |
| - eval_steps_per_second: 0.079 |
| - epoch: 0.6569 |
| - step: 4000 |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 3 |
| - total_train_batch_size: 48 |
| - total_eval_batch_size: 48 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_steps: 50 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.0 |
| - Tokenizers 0.21.1 |
