Edit model card

impaired-v3-independent-all

This model is a fine-tuned version of openai/whisper-large-v3 on the honzapucalek/impaired_v3_independent_all cs dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4531
  • Wer: 0.4069

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: 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: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0077 13.99 1000 1.0277 0.3968
0.0008 27.97 2000 1.2058 0.4008
0.0001 41.96 3000 1.3848 0.4069
0.0001 55.94 4000 1.4363 0.3998
0.0001 69.93 5000 1.4531 0.4069

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
Downloads last month
11
Safetensors
Model size
1.54B params
Tensor type
F32
·

Finetuned from

Evaluation results