CoolFace
Modelpublic

rohitp1/dgx1_w2v2_base_teacher_student_distillation_mozilla_epochs_100_batch_16

sourceHugging Faceupdated 4y agoView on Hugging Face
0likes4downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

dgx1w2v2baseteacherstudentdistillationmozillaepochs100batch16

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: 33.1259
  • —Wer: 0.9996

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: 100
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
81.32687.3550027.88350.9996
62.221514.7100028.94440.9997
58.442222.06150030.46890.9997
55.585329.41200030.39070.9996
53.367436.76250031.56430.9996
51.396344.12300031.65850.9996
49.548751.47350033.01770.9996
48.390958.82400033.62930.9996
47.624966.18450033.12590.9996

Framework versions

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