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End of training
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metadata
license: apache-2.0
base_model: josebruzzoni/disfluency-spanish-v1
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: disfluency-spanish-v4
    results: []

disfluency-spanish-v4

This model is a fine-tuned version of josebruzzoni/disfluency-spanish-v1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2653
  • Wer: 27.7008

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: 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: 500
  • training_steps: 4000

Training results

Training Loss Epoch Step Validation Loss Wer
0.002 20.41 1000 0.2377 20.2216
0.0001 40.82 2000 0.2524 23.4072
0.0001 61.22 3000 0.2617 26.7313
0.0001 81.63 4000 0.2653 27.7008

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3