| | --- |
| | language: |
| | - ymr |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: leenag/Norm_KLuke_Med |
| | 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. --> |
| |
|
| | # leenag/Norm_KLuke_Med |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5144 |
| | - Wer: 44.9541 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 16 |
| | - 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: 2000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-------:|:----:|:---------------:|:-------:| |
| | | 0.0275 | 11.3636 | 250 | 0.3935 | 48.5092 | |
| | | 0.0091 | 22.7273 | 500 | 0.4626 | 49.0252 | |
| | | 0.0012 | 34.0909 | 750 | 0.4798 | 47.1330 | |
| | | 0.0002 | 45.4545 | 1000 | 0.5015 | 46.3876 | |
| | | 0.0001 | 56.8182 | 1250 | 0.4947 | 45.5849 | |
| | | 0.0 | 68.1818 | 1500 | 0.5088 | 45.0688 | |
| | | 0.0 | 79.5455 | 1750 | 0.5129 | 44.9541 | |
| | | 0.0 | 90.9091 | 2000 | 0.5144 | 44.9541 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.2 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.16.0 |
| | - Tokenizers 0.19.1 |
| | |
