| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-large-v3 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: psst-model-4e-1s-augmented |
| 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. --> |
|
|
| # psst-model-4e-1s-augmented |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5793 |
| - Wer: 0.1566 |
| - Iu F1: 0.7215 |
| - Iu Tp: 829 |
| - Iu Fp: 471 |
| - Iu Fn: 169 |
|
|
| ## 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: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1327 |
| - training_steps: 18952 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Iu F1 | Iu Tp | Iu Fp | Iu Fn | |
| |:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:-----:|:-----:|:-----:| |
| | 0.5869 | 0.5001 | 2369 | 0.5099 | 0.2429 | 0.7513 | 420 | 122 | 156 | |
| | 0.2396 | 1.0 | 4738 | 0.5600 | 0.2424 | 0.7090 | 452 | 247 | 124 | |
| | 0.0832 | 1.5001 | 7107 | 0.6434 | 0.2410 | 0.7457 | 409 | 112 | 167 | |
| | 0.0351 | 2.0 | 9476 | 0.7193 | 0.2330 | 0.7571 | 438 | 143 | 138 | |
| | 0.0151 | 2.5001 | 11845 | 0.7708 | 0.2348 | 0.7006 | 468 | 292 | 108 | |
| | 0.0064 | 3.0 | 14214 | 0.8060 | 0.2297 | 0.7753 | 459 | 149 | 117 | |
| | 0.0022 | 3.5001 | 16583 | 0.8301 | 0.2237 | 0.7787 | 445 | 122 | 131 | |
| | 0.0012 | 4.0 | 18952 | 0.8656 | 0.2243 | 0.7699 | 445 | 135 | 131 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.6.2 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.21.0 |
| - Tokenizers 0.22.2 |
|
|
