---
language:
- ko
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-large-v2
datasets:
- customd_ataset
model-index:
- name: Whisper large-v2 Korean - ML_project_custom_data_10epoch_with500
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper large-v2 Korean - ML_project_custom_data_10epoch_with500

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the customd_ataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7993
- Cer: 20.9642

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1305        | 1.0   | 113  | 0.8786          | 53.5427 |
| 0.1204        | 2.0   | 226  | 0.8298          | 93.2067 |
| 0.0958        | 3.0   | 339  | 0.8469          | 24.7626 |
| 0.0543        | 4.0   | 452  | 0.8597          | 46.3112 |
| 0.0408        | 5.0   | 565  | 0.8339          | 63.3309 |
| 0.0375        | 6.0   | 678  | 0.8222          | 60.4091 |
| 0.0267        | 7.0   | 791  | 0.7989          | 20.7451 |
| 0.0066        | 8.0   | 904  | 0.8033          | 24.9087 |
| 0.0061        | 9.0   | 1017 | 0.7966          | 20.2337 |
| 0.0021        | 10.0  | 1130 | 0.7993          | 20.9642 |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1