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End of training
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metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: XLS-R_Synthesis_ALL_v1
    results: []

XLS-R_Synthesis_ALL_v1

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1635
  • Wer: 0.1696

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: 0.0001
  • train_batch_size: 18
  • eval_batch_size: 9
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 72
  • total_eval_batch_size: 18
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: polynomial
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 100.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
4.5765 1.0 2611 1.4891 0.9957
0.7865 2.0 5223 0.3830 0.4573
0.4459 3.0 7834 0.2696 0.3355
0.3452 4.0 10446 0.2259 0.2741
0.2932 5.0 13057 0.2103 0.2403
0.2617 6.0 15669 0.1945 0.2206
0.2421 7.0 18280 0.1853 0.2170
0.2285 8.0 20892 0.1780 0.2050
0.2184 9.0 23503 0.1864 0.1997
0.2115 10.0 26115 0.1737 0.1980
0.2048 11.0 28726 0.1703 0.1926
0.195 12.0 31338 0.1830 0.1892
0.1864 13.0 33949 0.1676 0.1844
0.1785 14.0 36561 0.1609 0.1770
0.1727 15.0 39172 0.1690 0.1751
0.1676 16.0 41784 0.1639 0.1750
0.1638 17.0 44395 0.1634 0.1751
0.1594 18.0 47007 0.1659 0.1769
0.1553 19.0 49618 0.1635 0.1696

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0