metadata

language:
  - ko
license: apache-2.0
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mangoo111/stt_datasets_mixed
base_model: openai/whisper-base
model-index:
  - name: AIHub_non-face-to-face-care_data_model_synthesis
    results: []

AIHub_non-face-to-face-care_data_model_synthesis

This model is a fine-tuned version of openai/whisper-base on the AIHub_non-face-to-face-care_data dataset. It achieves the following results on the evaluation set:

Loss: 0.4661
Cer: 86.6106
Normalized Cer: 0.1083

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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Normalized Cer
0.6939	2.5	1000	0.7123	100.3264	0.1254
0.4626	5.0	2000	0.4787	93.8130	0.1173
0.3828	7.5	3000	0.4661	86.6106	0.1083
0.3207	10.0	4000	0.4811	99.8114	0.1248

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1