| license: apache-2.0 | |
| base_model: openai/whisper-small | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: latest-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. --> | |
| # latest-finetuned | |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0520 | |
| - Wer: 10.0274 | |
| ## 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: 16 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - training_steps: 3000 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| | |
| | 0.0309 | 2.03 | 1000 | 0.0481 | 12.1580 | | |
| | 0.0054 | 4.07 | 2000 | 0.0485 | 10.2808 | | |
| | 0.0013 | 6.1 | 3000 | 0.0520 | 10.0274 | | |
| ### Framework versions | |
| - Transformers 4.39.3 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |