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syp1229/
whisper-small-Young

Name: whisper-small-Young
Availability: InStock

transformers

pytorch

whisper

automatic-speech-recognition

hf-asr-leaderboard

generated_from_trainer

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Whisper Small ko-Yfreq-E - syp1229

This model is a fine-tuned version of openai/whisper-small on the aihub Y E dialogue dataset. It achieves the following results on the evaluation set:

Loss: 0.3217
Cer: 0.0749

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.1927	0.3	100	0.3277	0.0937
0.1915	0.59	200	0.3208	0.0843
0.135	0.89	300	0.3242	0.0940
0.062	1.19	400	0.3134	0.0819
0.0512	1.48	500	0.3234	0.0827
0.036	1.78	600	0.3145	0.0811
0.0217	2.07	700	0.3208	0.0807
0.0148	2.37	800	0.3228	0.0785
0.0359	2.67	900	0.3162	0.0789
0.0256	2.96	1000	0.3219	0.0784
0.0054	3.26	1100	0.3224	0.0770
0.0087	3.56	1200	0.3202	0.0748
0.0045	3.85	1300	0.3191	0.0755
0.0095	4.15	1400	0.3165	0.0739
0.0043	4.44	1500	0.3189	0.0738
0.0024	4.74	1600	0.3217	0.0749

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

syp1229/whisper-small-Young

Whisper Small ko-Yfreq-E - syp1229

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

syp1229/
whisper-small-Young