transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko base_model:openai/whisper-medium license:apache-2.0 endpoints_compatible region:us
---
language:
- ko
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_medium
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper_medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the aihub dataset.
It achieves the following results on the evaluation set:
- Cer: 15.6625
- Loss: 1.4176
- Wer: 32.4788

## 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-07
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Cer     | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|
| 1.8819        | 0.01  | 100  | 11.9999 | 1.5851          | 29.7754 |
| 1.6964        | 0.02  | 200  | 14.6066 | 1.4982          | 31.2945 |
| 1.6783        | 0.02  | 300  | 14.8315 | 1.4504          | 31.7318 |
| 1.6238        | 0.03  | 400  | 15.3631 | 1.4259          | 32.1490 |
| 1.7569        | 0.04  | 500  | 15.6625 | 1.4176          | 32.4788 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
