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Tamasheq-XLSR-53-mixed-Kabyle

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Tamasheq-XLSR-53-mixed-Kabyle / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
base_model: ad019el/tamasheq-99-1
model-index:
  - name: Tamasheq-XLSR-53-mixed-Kabyle
    results: []

Tamasheq-XLSR-53-mixed-Kabyle

This model is a fine-tuned version of ad019el/tamasheq-99-1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7107
  • Wer: 0.6480

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: 3e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 200
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
7.2189 5.1 500 1.2682 0.8246
0.8718 10.2 1000 0.6082 0.6467
0.5876 15.3 1500 0.7394 0.6896
0.5031 20.41 2000 0.7304 0.6735
0.447 25.51 2500 0.7107 0.6480

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1