| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-tiny-en |
| 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-tiny-en |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5089 |
| - Wer: 31.4721 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - 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: 200 |
| - training_steps: 1000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.4475 | 10.53 | 100 | 0.6788 | 20.5584 | |
| | 0.0166 | 21.05 | 200 | 0.4262 | 19.2893 | |
| | 0.0005 | 31.58 | 300 | 0.4534 | 22.8426 | |
| | 0.0003 | 42.11 | 400 | 0.4673 | 68.7817 | |
| | 0.0002 | 52.63 | 500 | 0.4806 | 72.5888 | |
| | 0.0002 | 63.16 | 600 | 0.4908 | 72.3350 | |
| | 0.0001 | 73.68 | 700 | 0.4987 | 31.4721 | |
| | 0.0001 | 84.21 | 800 | 0.5045 | 31.4721 | |
| | 0.0001 | 94.74 | 900 | 0.5078 | 31.4721 | |
| | 0.0001 | 105.26 | 1000 | 0.5089 | 31.4721 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.34.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.14.1 |
|
|
