| | --- |
| | license: apache-2.0 |
| | base_model: openai/whisper-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: home_workstation_ASR |
| | 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. --> |
| |
|
| | # home_workstation_ASR |
| |
|
| | 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: 0.3540 |
| | - Wer Ortho: 20.1592 |
| | - Wer: 15.1297 |
| |
|
| | ## 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: constant_with_warmup |
| | - lr_scheduler_warmup_steps: 50 |
| | - training_steps: 4000 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
| | | 0.232 | 0.9 | 1000 | 0.3209 | 21.7751 | 16.8164 | |
| | | 0.1153 | 1.8 | 2000 | 0.3150 | 20.7647 | 15.7552 | |
| | | 0.0653 | 2.7 | 3000 | 0.3327 | 20.2443 | 15.2927 | |
| | | 0.032 | 3.6 | 4000 | 0.3540 | 20.1592 | 15.1297 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| | |
