---
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: 41.833810888252145
      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: 0.6398
- Wer: 41.8338
- Cer: 30.4702
- 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     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:|
| 3.6633        | 1.0     | 168  | 1.8570          | 149.4269 | 97.5309  | 0.0001 |
| 1.2316        | 2.0     | 336  | 0.9484          | 66.4756  | 45.5477  | 0.0002 |
| 0.8773        | 3.0     | 504  | 0.8240          | 117.3352 | 102.2590 | 0.0002 |
| 0.5747        | 4.0     | 672  | 0.7314          | 76.3610  | 56.0809  | 0.0003 |
| 0.3652        | 5.0     | 840  | 0.6545          | 104.1547 | 90.4124  | 0.0002 |
| 0.2632        | 6.0     | 1008 | 0.6305          | 50.5731  | 34.6467  | 0.0002 |
| 0.1568        | 7.0     | 1176 | 0.5926          | 90.1146  | 80.4833  | 0.0002 |
| 0.104         | 8.0     | 1344 | 0.6388          | 47.5645  | 33.4121  | 0.0001 |
| 0.0356        | 9.0     | 1512 | 0.6073          | 42.8367  | 46.9398  | 0.0001 |
| 0.0189        | 10.0    | 1680 | 0.6361          | 42.5501  | 47.1500  | 0.0001 |
| 0.0089        | 11.0    | 1848 | 0.6385          | 41.9771  | 30.4965  | 0.0000 |
| 0.0108        | 11.9313 | 2004 | 0.6398          | 41.8338  | 30.4702  | 0.0000 |


### Framework versions

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