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rohitp1/dgx1_distil_w2v2_base_mozilla_12_to_6_batch_16_epoch_20

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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dgx1distilw2v2basemozilla12to6batch16epoch_20

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 26.8431
  • —Wer: 0.3778

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: 5e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 128
  • —totaltrainbatch_size: 2048
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.2
  • —num_epochs: 20
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
465.03572.215027.39610.4137
425.01584.4130027.11680.4018
388.60656.6145026.73680.3952
366.05898.8260026.39860.3879
353.0611.0375026.59290.3836
339.488313.2390026.80300.3800
337.498115.44105026.74290.3786
331.554217.64120026.75690.3783
327.28419.85135026.84310.3778

Framework versions

  • —Transformers 4.25.1
  • —Pytorch 1.12.1
  • —Datasets 2.8.0
  • —Tokenizers 0.13.2