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anton-l/xtreme_s_xlsr_minds14_fr

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.013 GBother✓ 7 checksumsupdated today
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xtreme_s_xlsr_minds14_fr

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the GOOGLE/XTREME_S - MINDS14.FR-FR dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3922
  • Accuracy: 0.9135

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: 0.0005
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • total_train_batch_size: 64
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 50.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.9751 10.0 50 2.0203 0.3462
0.4275 20.0 100 0.7434 0.7981
0.2484 30.0 150 0.7686 0.8462
0.0263 40.0 200 0.3922 0.9135
0.0118 50.0 250 0.4859 0.9038

Framework versions

  • Transformers 4.18.0.dev0
  • Pytorch 1.10.2+cu113
  • Datasets 1.18.4.dev0
  • Tokenizers 0.11.6