| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - wer | |
| model-index: | |
| - name: whisper-small-hi | |
| 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-hi | |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.1846 | |
| - Wer: 100.2053 | |
| ## 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: 40 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | No log | 2.5 | 10 | 2.4583 | 101.2320 | | |
| | No log | 5.0 | 20 | 1.9956 | 98.0493 | | |
| | 2.3242 | 7.5 | 30 | 1.5232 | 96.5092 | | |
| | 2.3242 | 10.0 | 40 | 1.1846 | 100.2053 | | |
| ### Framework versions | |
| - Transformers 4.26.0 | |
| - Pytorch 1.13.1+cpu | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.13.2 | |