---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: openai/whisper-medium
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_11_0
      type: common_voice_11_0
      config: ga-IE
      split: test
      args: ga-IE
    metrics:
    - name: Wer
      type: wer
      value: 32.955865272938446
---

<!-- 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. -->

# openai/whisper-medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0432
- Wer: 32.9559

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 7000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2448        | 1.02  | 1000 | 0.8498          | 41.7538 |
| 0.0367        | 2.04  | 2000 | 0.8609          | 35.7724 |
| 0.0095        | 3.06  | 3000 | 0.9109          | 34.9303 |
| 0.0048        | 4.09  | 4000 | 0.9602          | 34.3496 |
| 0.0009        | 5.11  | 5000 | 1.0041          | 33.2172 |
| 0.0003        | 7.01  | 6000 | 1.0362          | 33.1010 |
| 0.0006        | 8.03  | 7000 | 1.0432          | 32.9559 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2