| --- |
| license: apache-2.0 |
| base_model: openai/whisper-tiny.en |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: veract-11-biov3.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. --> |
|
|
| # veract-11-biov3.en |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2197 |
| - Wer: 33.3333 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 13 |
| - training_steps: 100 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 1.3918 | 25.0 | 25 | 0.4022 | 33.3333 | |
| | 0.3142 | 50.0 | 50 | 0.2668 | 33.3333 | |
| | 0.2472 | 75.0 | 75 | 0.2310 | 33.3333 | |
| | 0.2238 | 100.0 | 100 | 0.2197 | 33.3333 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
