| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: openai/whisper-small |
| datasets: |
| - facebook/voxpopuli |
| metrics: |
| - wer |
| model-index: |
| - name: WhisperForSpokenNER-end2end |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: facebook/voxpopuli de+es+fr+nl |
| type: facebook/voxpopuli |
| split: de+es+fr+nl |
| metrics: |
| - type: wer |
| value: 0.38886263390044107 |
| name: Wer |
| --- |
| |
| <!-- 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. --> |
|
|
| # WhisperForSpokenNER-end2end |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the facebook/voxpopuli de+es+fr+nl dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3381 |
| - Wer: 0.3889 |
|
|
| ## 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: 32 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 2.3436 | 0.36 | 200 | 1.8791 | 0.8871 | |
| | 1.1682 | 0.71 | 400 | 1.0307 | 0.5048 | |
| | 0.7321 | 1.07 | 600 | 0.6300 | 0.3665 | |
| | 0.4564 | 1.43 | 800 | 0.4381 | 0.3515 | |
| | 0.4095 | 1.79 | 1000 | 0.4027 | 0.3330 | |
| | 0.3813 | 2.14 | 1200 | 0.3847 | 0.3360 | |
| | 0.3667 | 2.5 | 1400 | 0.3734 | 0.3392 | |
| | 0.3583 | 2.86 | 1600 | 0.3649 | 0.3490 | |
| | 0.3454 | 3.22 | 1800 | 0.3588 | 0.3572 | |
| | 0.3422 | 3.57 | 2000 | 0.3537 | 0.3705 | |
| | 0.3371 | 3.93 | 2200 | 0.3503 | 0.3811 | |
| | 0.3291 | 4.29 | 2400 | 0.3475 | 0.3678 | |
| | 0.324 | 4.65 | 2600 | 0.3451 | 0.3670 | |
| | 0.3262 | 5.0 | 2800 | 0.3431 | 0.3710 | |
| | 0.3168 | 5.36 | 3000 | 0.3419 | 0.3847 | |
| | 0.3178 | 5.72 | 3200 | 0.3406 | 0.3833 | |
| | 0.3136 | 6.08 | 3400 | 0.3400 | 0.3853 | |
| | 0.3092 | 6.43 | 3600 | 0.3393 | 0.3896 | |
| | 0.3106 | 6.79 | 3800 | 0.3389 | 0.3900 | |
| | 0.3057 | 7.15 | 4000 | 0.3388 | 0.3803 | |
| | 0.3087 | 7.51 | 4200 | 0.3383 | 0.3941 | |
| | 0.308 | 7.86 | 4400 | 0.3382 | 0.3874 | |
| | 0.3036 | 8.22 | 4600 | 0.3381 | 0.3896 | |
| | 0.3087 | 8.58 | 4800 | 0.3380 | 0.3910 | |
| | 0.3079 | 8.94 | 5000 | 0.3381 | 0.3889 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.7.1.dev0 |
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.0 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
