---
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   |


### Framework versions

- Transformers 5.6.2
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.22.2