| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: whisper-tiny-minds-v3 |
| | 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-minds-v3 |
| |
|
| | 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: 0.6530 |
| | - Wer Ortho: 0.4102 |
| | - Wer: 0.3751 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - 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: 100 |
| | - training_steps: 500 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
| | | 0.4354 | 3.57 | 100 | 0.5542 | 0.4539 | 0.3870 | |
| | | 0.066 | 7.14 | 200 | 0.5501 | 0.4059 | 0.3554 | |
| | | 0.0086 | 10.71 | 300 | 0.6204 | 0.3953 | 0.3542 | |
| | | 0.0028 | 14.29 | 400 | 0.6455 | 0.3990 | 0.3631 | |
| | | 0.0022 | 17.86 | 500 | 0.6530 | 0.4102 | 0.3751 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
