| | --- |
| | base_model: openai/whisper-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: model_20231101 |
| | 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. --> |
| |
|
| | # model_20231101 |
| | |
| | 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: 1.0472 |
| | - Wer: 285.6269 |
| | |
| | ## 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: 1 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - training_steps: 6000 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.1216 | 8.99 | 1000 | 1.0660 | 407.7217 | |
| | | 0.0077 | 17.98 | 2000 | 1.0201 | 287.1560 | |
| | | 0.0003 | 26.97 | 3000 | 1.0195 | 260.5505 | |
| | | 0.0002 | 35.96 | 4000 | 1.0347 | 286.2385 | |
| | | 0.0001 | 44.94 | 5000 | 1.0430 | 275.3058 | |
| | | 0.0001 | 53.93 | 6000 | 1.0472 | 285.6269 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0 |
| | - Pytorch 2.1.0 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| | |
