---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
model-index:
- name: whisper-medium-kor_eng_medium_ed_ev
  results: []
---

<!-- 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-kor_eng_medium_ed_ev

This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Cer: 0.0

## 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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer  |
|:-------------:|:-------:|:----:|:---------------:|:----:|
| 0.0002        | 22.7273 | 1000 | 0.0002          | 50.0 |
| 0.0001        | 45.4545 | 2000 | 0.0001          | 0.0  |
| 0.0           | 68.1818 | 3000 | 0.0000          | 0.0  |
| 0.0           | 90.9091 | 4000 | 0.0000          | 0.0  |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1