---
library_name: peft
language:
- it
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- b-brave-balanced-augmented
metrics:
- wer
model-index:
- name: Whisper Medium IT
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: b-brave-balanced-augmented
      type: b-brave-balanced-augmented
    metrics:
    - type: wer
      value: 37.471783295711056
      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 IT

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the b-brave-balanced-augmented dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5097
- Wer: 37.4718
- Cer: 25.0621
- 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: 0.3
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      | Cer      | Lr     |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|:------:|
| 0.9163        | 1.0     | 413  | 0.8402          | 59.8194  | 36.7854  | 0.0001 |
| 0.5141        | 2.0     | 826  | 0.5758          | 116.7043 | 100.3728 | 0.0002 |
| 0.4624        | 3.0     | 1239 | 0.5542          | 181.9413 | 220.1740 | 0.0002 |
| 0.2622        | 4.0     | 1652 | 0.5540          | 36.7946  | 24.9379  | 0.0003 |
| 0.1687        | 5.0     | 2065 | 0.5141          | 93.4537  | 81.3173  | 0.0002 |
| 0.0797        | 6.0     | 2478 | 0.5233          | 34.9887  | 24.7307  | 0.0002 |
| 0.0367        | 7.0     | 2891 | 0.5124          | 36.3431  | 25.2693  | 0.0002 |
| 0.0264        | 8.0     | 3304 | 0.5188          | 35.2144  | 23.4880  | 0.0001 |
| 0.0108        | 9.0     | 3717 | 0.4938          | 33.6343  | 23.1152  | 0.0001 |
| 0.0084        | 10.0    | 4130 | 0.5044          | 37.9233  | 25.1450  | 0.0001 |
| 0.0014        | 11.0    | 4543 | 0.5071          | 37.2460  | 25.0621  | 0.0000 |
| 0.0017        | 11.9721 | 4944 | 0.5097          | 37.4718  | 25.0621  | 0.0000 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.2.0
- Datasets 3.3.2
- Tokenizers 0.21.1