---
language:
- cs
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper base Czech CV high LR
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 cs
      type: mozilla-foundation/common_voice_11_0
      config: cs
      split: test
      args: cs
    metrics:
    - name: Wer
      type: wer
      value: 26.914789782876923
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper base Czech CV high LR

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_11_0 cs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4828
- Wer: 26.9148

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 32
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0606        | 4.01  | 1000 | 0.4679          | 34.8189 |
| 0.0153        | 8.02  | 2000 | 0.5124          | 32.4451 |
| 0.0018        | 12.03 | 3000 | 0.4891          | 29.0068 |
| 0.0004        | 16.04 | 4000 | 0.4804          | 27.1210 |
| 0.0002        | 21.01 | 5000 | 0.4828          | 26.9148 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2