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whisper-medium-en

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metadata
library_name: peft
language:
  - en
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
datasets:
  - harpreet1/whisper-medium-v3-english-100steps
model-index:
  - name: Whisper Medium En - Harpreet Singh
    results: []

Whisper Medium En - Harpreet Singh

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

  • Loss: 2.5904

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: 5
  • eval_batch_size: 8
  • seed: 42
  • 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
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.8314 2.5 1000 2.5904

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3