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whisper-fine-tune-new-LoRA

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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-large-v2
model-index:
  - name: whisper-fine-tune-new-LoRA
    results: []

whisper-fine-tune-new-LoRA

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 4.1334
  • eval_runtime: 2.1077
  • eval_samples_per_second: 0.474
  • eval_steps_per_second: 0.474
  • epoch: 3.0
  • step: 213

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: 10
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2