---
base_model: openai/whisper-medium
datasets:
- miosipof/asr_en
language:
- en
library_name: peft
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: Whisper Medium
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: miosipof/asr_en
      type: miosipof/asr_en
      config: default
      split: train
      args: default
    metrics:
    - type: wer
      value: 20.578778135048232
      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 miosipof/asr_en dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3170
- Wer: 20.5788

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32
- training_steps: 128
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 3.8843        | 1.0847 | 32   | 0.8819          | 135.0482 |
| 0.3624        | 2.1695 | 64   | 0.3312          | 47.1061  |
| 0.1637        | 3.2542 | 96   | 0.3231          | 22.1865  |
| 0.0903        | 4.3390 | 128  | 0.3170          | 20.5788  |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1