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parallelm/gpt2_small_PL_superbpe_6137_parallel10_42

sourceHugging Faceupdated 8mo agoView on Hugging Face
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Model Card

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gpt2smallPLsuperbpe6137parallel1042

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.5677
  • —Accuracy: 0.3493

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: 128
  • —evalbatchsize: 128
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
6.29721.015654.71390.2188
4.35552.031304.11690.2800
4.10433.046953.89450.3077
3.86674.062603.78210.3211
3.78555.078253.70740.3302
3.67986.093903.65640.3370
3.63747.0109553.62010.3422
3.56918.0125203.59460.3453
3.52899.0140853.57550.3481
3.504210.0156503.56770.3493

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.8.0+cu128
  • —Datasets 4.1.1
  • —Tokenizers 0.19.1