metadata
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: []
psst-model-4e-1s-augmented
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: 0.5793
- 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 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.22.2