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whisper-small-ru-ORD_0.7_peft_0.3

PEFT
Safetensors
Russian
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metadata
language:
  - ru
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-small
model-index:
  - name: 'Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru '
    results: []

Visualize in Weights & Biases

Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru

This model is a fine-tuned version of openai/whisper-small on the ORD_0.7 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.3021
  • eval_wer: 60.8525
  • eval_cer: 33.9271
  • eval_clean_wer: 53.2332
  • eval_clean_cer: 28.0130
  • eval_runtime: 1732.3102
  • eval_samples_per_second: 0.451
  • eval_steps_per_second: 0.028
  • epoch: 7.0
  • step: 1372

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: 0.001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.41.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.19.1