anton-l/xtreme_s_xlsr_300m_fleurs_asr_en_us

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xtremesxlsr300mfleursasren_us

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

• —Cer: 0.1356
• —Loss: 0.5599
• —Wer: 0.3148
• —Predict Samples: 647

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —num_epochs: 30.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.18.0.dev0
• —Pytorch 1.10.1+cu111
• —Datasets 1.18.4.dev0
• —Tokenizers 0.11.6