| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: openai/whisper-large-v3 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: psst-model-8e-1s-difflib |
| 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-8e-1s-difflib |
|
|
| 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: 0.4445 |
| - Wer: 0.1554 |
| - Iu F1: 0.7255 |
| - Iu Tp: 847 |
| - Iu Fp: 490 |
| - Iu Fn: 151 |
|
|
| ## 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: 664 |
| - training_steps: 9480 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Iu F1 | Iu Tp | Iu Fp | Iu Fn | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-----:|:-----:|:-----:| |
| | 0.9633 | 1.0 | 1185 | 0.4920 | 0.2578 | 0.5748 | 461 | 567 | 115 | |
| | 0.6300 | 2.0 | 2370 | 0.4784 | 0.2390 | 0.7674 | 442 | 134 | 134 | |
| | 0.3400 | 3.0 | 3555 | 0.4964 | 0.2216 | 0.7584 | 449 | 159 | 127 | |
| | 0.1584 | 4.0 | 4740 | 0.5594 | 0.2321 | 0.7517 | 451 | 173 | 125 | |
| | 0.0592 | 5.0 | 5925 | 0.6092 | 0.2269 | 0.7496 | 455 | 183 | 121 | |
| | 0.0264 | 6.0 | 7110 | 0.6907 | 0.2202 | 0.7760 | 452 | 137 | 124 | |
| | 0.0101 | 7.0 | 8295 | 0.7329 | 0.2196 | 0.7654 | 429 | 116 | 147 | |
| | 0.0033 | 8.0 | 9480 | 0.7761 | 0.2149 | 0.7690 | 446 | 138 | 130 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.6.2 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.21.0 |
| - Tokenizers 0.22.2 |
|
|
