---
library_name: peft
language:
- it
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- b-brave-clean
metrics:
- wer
model-index:
- name: Whisper Medium
  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: 41.260744985673355
      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 Medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-clean dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3776
- Wer: 41.2607
- Cer: 30.2338
- 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 0.3
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Lr     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|
| 1.2755        | 1.0   | 251  | 1.0659          | 71.4900 | 45.8103 | 0.0001 |
| 0.8309        | 2.0   | 502  | 0.7274          | 63.6103 | 44.2868 | 0.0002 |
| 0.5827        | 3.0   | 753  | 0.5902          | 56.1605 | 38.9283 | 0.0002 |
| 0.3714        | 4.0   | 1004 | 0.5072          | 53.2951 | 38.7444 | 0.0003 |
| 0.1876        | 5.0   | 1255 | 0.4535          | 46.2751 | 32.8080 | 0.0003 |
| 0.1278        | 6.0   | 1506 | 0.3975          | 44.8424 | 33.0444 | 0.0002 |
| 0.0562        | 7.0   | 1757 | 0.3698          | 36.1032 | 26.3987 | 0.0002 |
| 0.0209        | 8.0   | 2008 | 0.4188          | 56.3037 | 46.4145 | 0.0001 |
| 0.0123        | 9.0   | 2259 | 0.3916          | 40.8309 | 29.8398 | 0.0001 |
| 0.005         | 10.0  | 2510 | 0.3819          | 41.5473 | 30.4965 | 0.0001 |
| 0.0031        | 11.0  | 2761 | 0.3779          | 41.8338 | 30.7591 | 0.0000 |
| 0.0018        | 12.0  | 3012 | 0.3776          | 41.2607 | 30.2338 | 0.0000 |


### Framework versions

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