| license: apache-2.0 | |
| base_model: openai/whisper-small | |
| tags: | |
| - generated_from_trainer | |
| 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. --> | |
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/miaronkirote-n-a/huggingface/runs/fyuqcgu5) | |
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/miaronkirote-n-a/huggingface/runs/fyuqcgu5) | |
| # 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: 2.7406 | |
| - eval_wer: 100.0 | |
| - eval_runtime: 473.0497 | |
| - eval_samples_per_second: 1.057 | |
| - eval_steps_per_second: 0.068 | |
| - epoch: 0.75 | |
| - step: 75 | |
| ## 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: 0.0001 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - 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 | |
| - Transformers 4.42.3 | |
| - Pytorch 2.2.2+cu121 | |
| - Datasets 2.19.2 | |
| - Tokenizers 0.19.1 | |