| | --- |
| | base_model: openai/whisper-tiny |
| | license: apache-2.0 |
| | metrics: |
| | - wer |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: whisper-tinyf |
| | 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-tinyf |
| |
|
| | 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: 0.0000 |
| | - Wer: 0.0 |
| |
|
| | ## 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: 1 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 100 |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:------:|:----:|:---------------:|:---:| |
| | | No log | 100.0 | 100 | 0.0001 | 0.0 | |
| | | No log | 200.0 | 200 | 0.0000 | 0.0 | |
| | | No log | 300.0 | 300 | 0.0000 | 0.0 | |
| | | No log | 400.0 | 400 | 0.0000 | 0.0 | |
| | | 0.006 | 500.0 | 500 | 0.0000 | 0.0 | |
| | | 0.006 | 600.0 | 600 | 0.0000 | 0.0 | |
| | | 0.006 | 700.0 | 700 | 0.0000 | 0.0 | |
| | | 0.006 | 800.0 | 800 | 0.0000 | 0.0 | |
| | | 0.006 | 900.0 | 900 | 0.0000 | 0.0 | |
| | | 0.0 | 1000.0 | 1000 | 0.0000 | 0.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.40.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
