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metadata
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: whisper-large-v2-ft-my_dataset_car30_owner12_notmix_copy8x_mp3-241113-v1
    results: []

whisper-large-v2-ft-my_dataset_car30_owner12_notmix_copy8x_mp3-241113-v1

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:

  • Loss: 0.0000

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: 5e-05
  • 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_ratio: 0.2
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
5.7235 1.0 90 2.3459
0.7833 2.0 180 0.0019
0.0003 3.0 270 0.0000
0.0 4.0 360 0.0000
0.0 5.0 450 0.0000
0.0 6.0 540 0.0000
0.0 7.0 630 0.0000
0.0 8.0 720 0.0000
0.0 9.0 810 0.0000
0.0 10.0 900 0.0000

Framework versions

  • PEFT 0.13.0
  • Transformers 4.45.1
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.0
  • Tokenizers 0.20.3