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Rafaelrosendo1
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whisper-large-pt

Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Inference Endpoints
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whisper-large-pt / README.md
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metadata
license: apache-2.0
base_model: Rafaelrosendo1/whisper-large-pt
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-large-pt
    results: []

whisper-large-pt

This model is a fine-tuned version of Rafaelrosendo1/whisper-large-pt on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2494
  • Wer: 23.0283

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: 32
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 9000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0038 21.4 9000 0.2494 23.0283

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.12.0
  • Tokenizers 0.14.1