---
library_name: peft
language:
- it
license: cc-by-nc-4.0
base_model: nyrahealth/CrisperWhisper
tags:
- generated_from_trainer
datasets:
- b-brave-clean
metrics:
- wer
model-index:
- name: Whisper-Crisper
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: b-brave-clean
      type: b-brave-clean
      config: default
      split: test
      args: default
    metrics:
    - type: wer
      value: 155.63816604708796
      name: Wer
---

<!-- 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. -->

# Whisper-Crisper

This model is a fine-tuned version of [nyrahealth/CrisperWhisper](https://huggingface.co/nyrahealth/CrisperWhisper) on the b-brave-clean dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2971
- Wer: 155.6382
- Cer: 74.4218
- Lr: 0.0000

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- 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_ratio: 0.5
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer       | Cer      | Lr     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:--------:|:------:|
| 1.0227        | 1.0    | 335  | 0.8979          | 601.9827  | 363.8095 | 0.0001 |
| 0.5552        | 2.0    | 670  | 0.5294          | 1520.4461 | 678.7302 | 0.0002 |
| 0.4207        | 3.0    | 1005 | 0.4611          | 403.5936  | 219.1610 | 0.0002 |
| 0.2025        | 4.0    | 1340 | 0.3812          | 346.8401  | 162.0408 | 0.0003 |
| 0.1216        | 5.0    | 1675 | 0.3001          | 400.3717  | 203.6054 | 0.0002 |
| 0.0478        | 6.0    | 2010 | 0.2932          | 198.6369  | 94.8299  | 0.0001 |
| 0.0313        | 7.0    | 2345 | 0.3033          | 241.0161  | 115.3288 | 0.0001 |
| 0.012         | 7.9776 | 2672 | 0.2971          | 155.6382  | 74.4218  | 0.0000 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.2.0
- Datasets 3.2.0
- Tokenizers 0.21.0