Edit model card
Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string

Visualize in Weights & Biases Visualize in Weights & Biases

whisper-small-finetuned-finetuned

This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.4388
  • eval_wer: 101.3774
  • eval_runtime: 370.6019
  • eval_samples_per_second: 0.27
  • eval_steps_per_second: 0.011
  • epoch: 6.008
  • step: 100

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 10
  • training_steps: 500
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.3
  • Pytorch 2.4.1+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1
Downloads last month
49
Safetensors
Model size
242M params
Tensor type
F32
·
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for KevinKibe/whisper-small-finetuned-finetuned

Adapter
(99)
this model