---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: gyeongsan_1_6_model_2000
  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_2000

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: 0.1514
- Cer: 10.5865

## 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: 20000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Cer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.2344        | 0.0450 | 2000  | 0.2203          | 12.7562 |
| 0.2228        | 0.0901 | 4000  | 0.2065          | 12.7230 |
| 0.1923        | 0.1351 | 6000  | 0.1928          | 11.7444 |
| 0.1624        | 0.1801 | 8000  | 0.1829          | 11.3387 |
| 0.1663        | 0.2252 | 10000 | 0.1767          | 11.3328 |
| 0.1766        | 0.2702 | 12000 | 0.1696          | 11.1766 |
| 0.1553        | 0.3152 | 14000 | 0.1633          | 10.9184 |
| 0.1359        | 0.3603 | 16000 | 0.1581          | 10.6428 |
| 0.1551        | 0.4053 | 18000 | 0.1537          | 10.6719 |
| 0.1373        | 0.4503 | 20000 | 0.1514          | 10.5865 |


### Framework versions

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