This model is a fine-tuned version of openai/whisper-base on the whisper_finetune_data2_240120 dataset. It achieves the following results on the evaluation set:

Loss: 1.3989
Cer: 27.6596

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
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0001	500.0	1000	1.3218	26.9504
0.0	1000.0	2000	1.3690	27.3050
0.0	1500.0	3000	1.3913	27.6596
0.0	2000.0	4000	1.3989	27.6596

Framework versions

Transformers 4.37.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0