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psst-model-4e-1s-hp600hz
nilc-nlp/psst-model-4e-1s-hp600hz
psst-model-4e-1s-hp600hz is a automatic speech recognition model from nilc-nlp. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- May 25, 2026
- Updated
- May 25, 2026
- SHA
- 068a3fb1
Base models
Model card
From the Hugging Face model README
<!-- 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-hp600hz
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3383
- Wer: 0.1512
- Iu F1: 0.7329
- Iu Tp: 848
- Iu Fp: 468
- Iu Fn: 150
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 |
|---|---|---|---|---|---|---|---|---|
| 1.0822 | 0.4998 | 592 | 0.5258 | 0.2708 | 0.6667 | 398 | 220 | 178 |
| 0.9518 | 0.9996 | 1184 | 0.4797 | 0.2809 | 0.7484 | 461 | 195 | 115 |
| 0.5942 | 1.4989 | 1776 | 0.4785 | 0.2347 | 0.7359 | 386 | 87 | 190 |
| 0.5426 | 1.9987 | 2368 | 0.4593 | 0.2371 | 0.7721 | 476 | 181 | 100 |
| 0.2908 | 2.4981 | 2960 | 0.4965 | 0.2240 | 0.7621 | 458 | 168 | 118 |
| 0.2855 | 2.9979 | 3552 | 0.4893 | 0.2204 | 0.7719 | 467 | 167 | 109 |
| 0.0986 | 3.4973 | 4144 | 0.5502 | 0.2168 | 0.7612 | 435 | 132 | 141 |
| 0.0918 | 3.9970 | 4736 | 0.5491 | 0.2179 | 0.7733 | 452 | 141 | 124 |
| 0.0918 | 4.0 | 4740 | 0.5491 | 0.2182 | 0.7726 | 452 | 142 | 124 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- May 25, 2026
- Updated
- May 25, 2026