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whisper-medium-fa-cv17-fleurs-lora

PEFT
Safetensors
Persian
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metadata
library_name: peft
language:
  - fa
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
datasets:
  - srezas/farsi_voice_dataset
model-index:
  - name: Whisper medium Fa - SRezaS
    results: []

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