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whisper-finetuned-all-3

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metadata
library_name: transformers
language:
  - en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: sumukhshadakshari/whisper-finetuned-all-3
    results: []

sumukhshadakshari/whisper-finetuned-all-3

This model is a fine-tuned version of openai/whisper-tiny on the AtCO2_UWB, Atcosim, Bial dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0967
  • Wer: 7.6923

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: 1e-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_steps: 1
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
1.0967 1.0 1 1.0967 7.6923
1.0967 2.0 2 1.0967 7.6923

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.4.1
  • Datasets 2.21.0
  • Tokenizers 0.20.1