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whisper-large-coes

Automatic Speech Recognition
Transformers
PyTorch
JAX
Spanish
whisper
hf-asr-leaderboard
Generated from Trainer
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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: 0.0000
  • Wer: 41.3688

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0001 153.85 1000 0.0001 53.5687
0.0001 307.69 2000 0.0001 39.7393
0.0 461.54 3000 0.0000 42.4443
0.0 615.38 4000 0.0000 41.3688

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.0