CoolFace
Modelpublic

rohitp1/finetune_teacher_babble_noise_mozilla_200_epochs

sourceHugging Faceupdated 4y agoView on Hugging Face
0likes6downloads
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. -->

finetuneteacherbabblenoisemozilla200epochs

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: 71.8264
  • —Wer: 0.3574

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
  • —trainbatchsize: 4
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 256
  • —totaltrainbatch_size: 1024
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.2
  • —num_epochs: 200
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
149.849414.7100041.85140.3998
101.570429.41200041.92440.3942
87.792144.12300044.82730.4013
74.044158.82400048.92630.3976
61.975173.53500048.63130.3950
51.431188.23600052.69740.3915
42.7197102.94700051.25890.3862
35.5205117.64800057.64960.3841
29.2148132.35900064.65580.3745
24.4399147.061000062.65120.3692
20.5101161.761100067.49780.3625
18.0444176.471200072.07400.3584
16.681191.181300071.82640.3574

Framework versions

  • —Transformers 4.24.0
  • —Pytorch 1.12.1
  • —Datasets 2.7.1
  • —Tokenizers 0.11.0