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whisper_small_saida

Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Inference Endpoints
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metadata
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper_small_saida
    results: []

whisper_small_saida

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

  • Loss: 4.3761
  • Wer: 22.5056

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-08
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 128
  • total_train_batch_size: 1024
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 800

Training results

Training Loss Epoch Step Validation Loss Wer
4.4732 30.45 800 4.3761 22.5056

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.1.1+cu121
  • Datasets 2.12.0
  • Tokenizers 0.14.1