---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- hyojin99/EBRC
model-index:
- name: ft_model
  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. -->

# ft_model

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the EBRC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4127
- Cer: 18.2381

## 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: 50
- training_steps: 12000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.5845        | 0.4   | 1000  | 0.5512          | 34.8150 |
| 0.4598        | 0.8   | 2000  | 0.4840          | 22.6069 |
| 0.3077        | 1.2   | 3000  | 0.4570          | 20.7128 |
| 0.3212        | 1.6   | 4000  | 0.4381          | 21.4198 |
| 0.3027        | 2.0   | 5000  | 0.4181          | 20.1164 |
| 0.219         | 2.4   | 6000  | 0.4180          | 19.6479 |
| 0.2373        | 2.8   | 7000  | 0.4089          | 18.6477 |
| 0.1342        | 3.2   | 8000  | 0.4127          | 18.3603 |
| 0.1601        | 3.6   | 9000  | 0.4104          | 18.4824 |
| 0.1489        | 4.0   | 10000 | 0.4084          | 18.0628 |
| 0.1308        | 4.4   | 11000 | 0.4134          | 18.2856 |
| 0.114         | 4.8   | 12000 | 0.4127          | 18.2381 |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2