---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: gyeongsan_1_6_model_50000
  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. -->

# gyeongsan_1_6_model_50000

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1386
- Cer: 10.5431

## 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: 16
- eval_batch_size: 8
- 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: 50000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.1752        | 0.2252 | 10000 | 0.1892          | 11.5421 |
| 0.1559        | 0.4503 | 20000 | 0.1678          | 11.1123 |
| 0.1676        | 0.6755 | 30000 | 0.1538          | 10.6121 |
| 0.1342        | 0.9006 | 40000 | 0.1427          | 10.6985 |
| 0.0933        | 1.1258 | 50000 | 0.1386          | 10.5431 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1