transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:DragonLine/ksponspeech_05 base_model:openai/whisper-base license:apache-2.0 endpoints_compatible region:us
---
language:
- ko
license: apache-2.0
base_model: openai/whisper-base
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- DragonLine/ksponspeech_05
model-index:
- name: train05
  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. -->

# train05

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the ksponspeech_05 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4059
- Cer: 13.3884

## 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: 128
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.434         | 0.13  | 100  | 0.4239          | 14.0769 |
| 0.4208        | 0.25  | 200  | 0.4212          | 14.0593 |
| 0.4245        | 0.38  | 300  | 0.4196          | 13.9936 |
| 0.4173        | 0.51  | 400  | 0.4169          | 14.0972 |
| 0.4245        | 0.63  | 500  | 0.4147          | 14.0310 |
| 0.4103        | 0.76  | 600  | 0.4102          | 14.1257 |
| 0.4097        | 0.88  | 700  | 0.4059          | 13.3884 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
