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STT_15000_4method_audio_basev2_0607 – AI Model by gingercake01 | AlphaNeural AI
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STT_15000_4method_audio_basev2_0607
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ko
4method15000_freetalk_matched
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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baseWhisper_finetune
This model is a fine-tuned version of
openai/whisper-base
on the 4method15000 dataset. It achieves the following results on the evaluation set:
Loss: 0.4846
Cer: 11.7739
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: 3e-05
train_batch_size: 128
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0043
21.2766
1000
0.4846
11.7739
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
