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whisper-finetuned-atco2_uwb

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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-atco2_uwb
    results: []

sumukhshadakshari/whisper-finetuned-atco2_uwb

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

  • Loss: 0.5665
  • Wer: 26.4179

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: 500
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.7865 1.0 609 0.8728 52.9827
0.5848 2.0 1218 0.6320 34.8257
0.4175 3.0 1827 0.5784 29.2477
0.2928 4.0 2436 0.5656 27.7268
0.241 5.0 3045 0.5665 26.4179

Framework versions

  • Transformers 4.44.1
  • Pytorch 2.4.1
  • Datasets 2.19.1
  • Tokenizers 0.19.1