metadata

language:
  - ko
license: apache-2.0
base_model: openai/whisper-base
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - nicekevin/lgevr_sentence_v2_tmp
model-index:
  - name: nicekevin/whisper_bs_ft_lgevr2_v3_2
    results: []

nicekevin/whisper_bs_ft_lgevr2_v3_2

This model is a fine-tuned version of openai/whisper-base on the lgevr_sentence_v2 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4283
eval_cer: 12.9976
eval_runtime: 10.4189
eval_samples_per_second: 3.743
eval_steps_per_second: 0.48
epoch: 25.0
step: 500

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: 2e-06
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: 2000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0