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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-large-v3
model-index:
  - name: Modelo_3_Whisper_Large_v3
    results: []

Modelo_3_Whisper_Large_v3

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0948

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: 0.001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.4848 1.0 1295 0.3289
0.3566 2.0 2590 0.2355
0.207 3.0 3885 0.1598
0.0846 4.0 5180 0.1153
0.0374 5.0 6475 0.0948

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.16.1
  • Tokenizers 0.15.2