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jimregan/wav2vec2-xls-r-300m-phoneme-timit

🤗 Hugging Face 来源automatic-speech-recognitionapache-2.0315M 参数1.3 GBsafetensors✓ 5 个校验和今天更新
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在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo jimregan/wav2vec2-xls-r-300m-phoneme-timit ./model-folder
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working

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: 0.3630
  • Wer: 0.6243
  • Cer: 0.1316

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • 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: 2000
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
3.5325 11.9 1000 3.4897 1.0 0.9266
2.1973 23.81 2000 1.1350 0.8396 0.2403
1.4762 35.71 3000 0.5270 0.6845 0.1563
1.2409 47.62 4000 0.4195 0.6331 0.1403
1.1241 59.52 5000 0.3845 0.6362 0.1379
1.024 71.43 6000 0.3716 0.6321 0.1355
0.9922 83.33 7000 0.3728 0.6290 0.1331
0.9432 95.24 8000 0.3648 0.6170 0.1321
0.9279 107.14 9000 0.3643 0.6248 0.1325
0.9268 119.05 10000 0.3630 0.6243 0.1316

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2