whisper-large-v3-cv-capes-fs024-IEEE-pt

This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1045

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: 5e-06
  • train_batch_size: 128
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 256
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss
0.1585 0.2315 50 0.1324
0.0913 0.4630 100 0.1042
0.0758 0.6944 150 0.0975
0.0732 0.9259 200 0.0940
0.0522 1.1574 250 0.0931
0.0536 1.3889 300 0.0919
0.0505 1.6204 350 0.0915
0.0491 1.8519 400 0.0913
0.0426 2.0833 450 0.0930
0.0358 2.3148 500 0.0933
0.036 2.5463 550 0.0934
0.0347 2.7778 600 0.0934
0.0344 3.0093 650 0.0935
0.0271 3.2407 700 0.0976
0.0269 3.4722 750 0.0988
0.027 3.7037 800 0.1005
0.0278 3.9352 850 0.0992
0.0228 4.1667 900 0.1037
0.0214 4.3981 950 0.1042
0.0225 4.6296 1000 0.1045

Framework versions

  • Transformers 4.50.2
  • Pytorch 2.5.1+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.2
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