---
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: 28.893905191873586
      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: 0.4682
- Wer: 28.8939
- Cer: 19.7597
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|
| 2.6473        | 1.0   | 165  | 1.2219          | 64.5598 | 37.6553 | 0.0001 |
| 0.8386        | 2.0   | 330  | 0.7353          | 59.1422 | 44.4905 | 0.0002 |
| 0.5917        | 3.0   | 495  | 0.5903          | 46.0497 | 29.5775 | 0.0002 |
| 0.4388        | 4.0   | 660  | 0.5117          | 36.3431 | 25.7249 | 0.0003 |
| 0.2524        | 5.0   | 825  | 0.5054          | 35.8916 | 24.6893 | 0.0003 |
| 0.1335        | 6.0   | 990  | 0.4751          | 35.4402 | 23.2809 | 0.0002 |
| 0.0587        | 7.0   | 1155 | 0.4769          | 30.4740 | 20.6711 | 0.0002 |
| 0.0388        | 8.0   | 1320 | 0.4668          | 32.9571 | 22.0381 | 0.0001 |
| 0.0124        | 9.0   | 1485 | 0.4646          | 30.4740 | 20.8368 | 0.0001 |
| 0.0087        | 10.0  | 1650 | 0.4582          | 28.2167 | 19.8840 | 0.0001 |
| 0.0022        | 11.0  | 1815 | 0.4655          | 29.7968 | 20.5468 | 0.0000 |
| 0.0022        | 12.0  | 1980 | 0.4682          | 28.8939 | 19.7597 | 0.0000 |


### Framework versions

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