| license: apache-2.0 | |
| library_name: peft | |
| tags: | |
| - generated_from_trainer | |
| base_model: openai/whisper-small | |
| datasets: | |
| - common_voice_16_1 | |
| model-index: | |
| - name: whisper-small-finetuned | |
| 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. --> | |
| # whisper-small-finetuned | |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_16_1 dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 5.7706 | |
| - eval_wer: 252.5 | |
| - eval_runtime: 142.1055 | |
| - eval_samples_per_second: 0.141 | |
| - eval_steps_per_second: 0.007 | |
| - epoch: 8.01 | |
| - step: 25 | |
| ## 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: 1e-05 | |
| - train_batch_size: 96 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - training_steps: 100 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - PEFT 0.9.0 | |
| - Transformers 4.39.2 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 2.17.0 | |
| - Tokenizers 0.15.2 |