whisper-chimsuja-added

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

• Loss: 0.1292
• Cer: 4.5958

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
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0215	4.03	5000	0.1357	4.5024
0.0032	8.06	10000	0.1292	4.5958

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0