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nikaashpuri/gpt-expt-sp-v3-K-600-MA-actions-kmeans-v2

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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gpt-expt-sp-v3-K-600-MA-actions-kmeans-v2

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0165

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 512
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 500
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.157819.0850000.0784
0.043238.17100000.0289
0.102257.25150000.0259
0.025776.34200000.0203
0.021695.42250000.0184
0.0196114.5300000.0177
0.0183133.59350000.0180
0.0178152.67400000.0171
0.0176171.76450000.0170
0.0174190.84500000.0169
0.0172209.92550000.0168
0.0171229.01600000.0168
0.017248.09650000.0167
0.0169267.18700000.0167
0.0169286.26750000.0166
0.0168305.34800000.0166
0.0168324.43850000.0166
0.0167343.51900000.0166
0.0167362.6950000.0165
0.0166381.681000000.0165
0.0166400.761050000.0165
0.0166419.851100000.0165
0.0165438.931150000.0165
0.0165458.021200000.0165
0.0165477.11250000.0165
0.0165496.181300000.0165

Framework versions

  • —Transformers 4.26.1
  • —Pytorch 1.13.1.post200
  • —Datasets 2.9.0
  • —Tokenizers 0.13.2