| --- |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: AN_demo_v2 |
| 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. --> |
|
|
| # AN_demo_v2 |
|
|
| 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: 0.3792 |
| - Wer Ortho: 23.8944 |
| - Wer: 18.9022 |
|
|
| ## 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: 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: 500 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
| | 0.6122 | 0.05 | 100 | 0.6629 | 26.6227 | 21.4371 | |
| | 0.2959 | 0.09 | 200 | 0.4153 | 26.0069 | 20.7252 | |
| | 0.3019 | 0.14 | 300 | 0.3976 | 24.9762 | 19.9102 | |
| | 0.2674 | 0.18 | 400 | 0.3872 | 24.2108 | 19.3480 | |
| | 0.2821 | 0.23 | 500 | 0.3792 | 23.8944 | 18.9022 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
| |
