This model is a fine-tuned version of openai/whisper-base on the gingercake01/0603_15000_freetalk_matched dataset. It achieves the following results on the evaluation set:

Loss: 0.3428
Cer: 7.9820

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-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0836	5.3333	1000	0.2870	8.1564
0.0068	10.6667	2000	0.3203	7.9067
0.0026	16.0	3000	0.3428	7.9820

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

gingercake01/STT_15000audio_basev2_0606

baseWhisper_finetune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gingercake01/
STT_15000audio_basev2_0606