| --- |
| 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-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-4e-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: 0.3447 |
| - Wer: 0.1540 |
| - Iu F1: 0.7087 |
| - Iu Tp: 810 |
| - Iu Fp: 478 |
| - Iu Fn: 188 |
|
|
| ## 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: 332 |
| - training_steps: 4740 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | Iu F1 | Iu Tp | Iu Fp | Iu Fn | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:-----:|:-----:|:-----:| |
| | 1.0729 | 0.4998 | 592 | 0.5149 | 0.2641 | 0.6233 | 402 | 312 | 174 | |
| | 0.9312 | 0.9996 | 1184 | 0.4770 | 0.2695 | 0.7009 | 457 | 271 | 119 | |
| | 0.5909 | 1.4989 | 1776 | 0.4784 | 0.2608 | 0.7393 | 380 | 72 | 196 | |
| | 0.5226 | 1.9987 | 2368 | 0.4648 | 0.2585 | 0.7708 | 454 | 148 | 122 | |
| | 0.2837 | 2.4981 | 2960 | 0.4956 | 0.2201 | 0.7619 | 448 | 152 | 128 | |
| | 0.2858 | 2.9979 | 3552 | 0.4899 | 0.2193 | 0.7742 | 468 | 165 | 108 | |
| | 0.1001 | 3.4973 | 4144 | 0.5498 | 0.2149 | 0.7788 | 456 | 139 | 120 | |
| | 0.0915 | 3.9970 | 4736 | 0.5480 | 0.2154 | 0.7853 | 461 | 137 | 115 | |
| | 0.0915 | 4.0 | 4740 | 0.5480 | 0.2153 | 0.7853 | 461 | 137 | 115 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.6.2 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.21.0 |
| - Tokenizers 0.22.2 |
|
|
