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

Whisper medium Fa - SRezaS

This model is a fine-tuned version of openai/whisper-medium on the Persian Custom Split Common Voice 17.0 + Fleurs dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1636

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.1791 1.0 4230 0.1811
0.1304 1.9996 8458 0.1636

Framework versions

  • PEFT 0.13.3.dev0
  • Transformers 4.47.0
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.21.0
Downloads last month
27
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.

Model tree for srezas/whisper-medium-fa-cv17-fleurs-lora

Adapter
(64)
this model

Dataset used to train srezas/whisper-medium-fa-cv17-fleurs-lora