| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: whisper-tiny-basque-lr1e-5-freezeFalse |
| 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-basque-lr1e-5-freezeFalse |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3068 |
| - Wer: 15.2741 |
|
|
| ## 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: 256 |
| - eval_batch_size: 128 |
| - 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: 10000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.3108 | 0.66 | 1000 | 0.4898 | 27.4135 | |
| | 0.2097 | 1.32 | 2000 | 0.3735 | 20.8880 | |
| | 0.179 | 1.98 | 3000 | 0.3456 | 18.7898 | |
| | 0.1488 | 2.64 | 4000 | 0.3320 | 17.3161 | |
| | 0.1348 | 3.3 | 5000 | 0.3175 | 16.7728 | |
| | 0.1271 | 3.96 | 6000 | 0.3110 | 16.1421 | |
| | 0.1176 | 4.62 | 7000 | 0.3099 | 15.7050 | |
| | 0.1095 | 5.28 | 8000 | 0.3078 | 15.2866 | |
| | 0.11 | 5.94 | 9000 | 0.3059 | 15.2804 | |
| | 0.1048 | 6.61 | 10000 | 0.3068 | 15.2741 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.25.1 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.3 |
| |
