| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-base.en |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: fs-w-he-base-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. --> |
|
|
| # fs-w-he-base-en |
|
|
| This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0616 |
| - Wer: 134.8528 |
| - Cer: 128.2635 |
|
|
| ## 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: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:| |
| | 5.5657 | 4.5872 | 500 | 5.7291 | 440.3609 | 462.4528 | |
| | 1.368 | 9.1743 | 1000 | 1.8578 | 127.8727 | 122.6554 | |
| | 0.5271 | 13.7615 | 1500 | 1.0031 | 101.1871 | 87.2552 | |
| | 0.3551 | 18.3486 | 2000 | 0.7689 | 107.6448 | 90.9653 | |
| | 0.2646 | 22.9358 | 2500 | 0.7395 | 197.5309 | 237.3841 | |
| | 0.1357 | 27.5229 | 3000 | 0.7802 | 124.2165 | 120.3023 | |
| | 0.0493 | 32.1101 | 3500 | 0.8682 | 150.9497 | 148.3167 | |
| | 0.0112 | 36.6972 | 4000 | 0.9626 | 140.2659 | 152.1384 | |
| | 0.001 | 41.2844 | 4500 | 1.0325 | 135.9924 | 125.2662 | |
| | 0.0004 | 45.8716 | 5000 | 1.0616 | 134.8528 | 128.2635 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.45.1 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
| |
