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whisper-medium-sein

Automatic Speech Recognition
Transformers
PyTorch
Spanish
whisper
hf-asr-leaderboard
Generated from Trainer
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whisper-medium-sein / README.md
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metadata
language:
  - es
license: apache-2.0
base_model: openai/whisper-large
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper Large SEIN - COES SEIN
    results: []

Whisper Large SEIN - COES SEIN

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

  • Loss: 1.2948
  • Wer: 70.8908

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: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss Wer
1.3416 5.06 100 1.2948 70.8908

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3