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jeju_stt_v2 – AI Model by rlaorrn | AlphaNeural AI
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jeju_stt_v2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
rlaorrn/working
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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jeju_stt
This model is a fine-tuned version of
openai/whisper-base
on the jeju_audio dataset. It achieves the following results on the evaluation set:
Loss: 0.3820
Cer: 12.0409
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
0.3689
2.0
1000
0.3853
13.4054
0.1884
4.0
2000
0.3488
11.9817
0.1059
6.0
3000
0.3607
11.9350
0.0634
8.0
4000
0.3820
12.0409
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1
