---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: openai/whisper-large-v2
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_11_0
      type: common_voice_11_0
      config: lv
      split: test
      args: lv
    metrics:
    - name: Wer
      type: wer
      value: 27.504743833017077
---

<!-- 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-large-v2

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3198
- Wer: 27.5047

## 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: 3e-07
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- training_steps: 1500

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5148        | 3.01  | 200  | 0.4189          | 39.3454 |
| 0.3041        | 6.03  | 400  | 0.3335          | 29.5731 |
| 0.1961        | 9.04  | 600  | 0.3186          | 27.7799 |
| 0.2579        | 13.01 | 800  | 0.3167          | 27.5712 |
| 0.2034        | 16.03 | 1000 | 0.3179          | 27.4763 |
| 0.1478        | 19.04 | 1200 | 0.3193          | 27.5237 |
| 0.2169        | 23.01 | 1400 | 0.3198          | 27.5047 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221218+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2