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muhtasham/tiny-mlm-wikitext-custom-tokenizer

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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tiny-mlm-wikitext-custom-tokenizer

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 6.4940

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
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: constant
  • num_epochs: 200

Training results

Training LossEpochStepValidation Loss
8.15430.45007.6501
7.43420.810007.5531
7.36561.21500nan
7.28441.620007.4543
7.26212.025007.4480
7.16682.430007.3456
7.18742.835007.3750
7.12843.24000nan
7.10413.645007.2361
7.06934.050007.2836
7.06044.455007.2521
6.9934.860007.2082
7.00145.265007.1960
6.96075.670007.1971
6.95146.07500nan
6.95246.480007.0977
6.89996.885007.0787
6.84717.290007.1168
6.85117.695007.0589
6.81118.0100007.0058
6.81318.4105007.0089
6.7178.8110006.9681
6.70249.2115006.9542
6.75679.6120006.9008
6.702510.0125006.8863
6.650910.4130006.8794
6.615110.8135006.8888
6.634811.2140006.8106
6.606111.6145006.8399
6.563712.0150006.8289
6.552612.4155006.7866
6.489912.8160006.7108
6.510613.2165006.7707
6.502213.6170006.7289
6.42914.0175006.6883
6.434214.4180006.6669
6.438514.8185006.6722
6.432815.2190006.6867
6.380215.6195006.6403
6.37516.0200006.6141
6.33216.4205006.6759
6.323716.8210006.5960
6.355117.2215006.5551
6.291817.622000nan
6.318.0225006.5744
6.255518.4230006.5212
6.256918.8235006.5515
6.265819.2240006.5763
6.220519.6245006.4887
6.202220.0250006.4955
6.188120.4255006.4849
6.147920.8260006.4727
6.180521.2265006.4253
6.143921.6270006.4397
6.133222.0275006.4876
6.137922.4280006.4940

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2