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Neurocraft23/text_generation_FT

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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textgenerationFT

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

  • —Loss: 2.5952

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: 0.0001
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation Loss
1.41380.42305002.6432
1.34990.846010002.6207
1.3411.269015002.6133
1.33311.692020002.6063
1.33862.115125002.6033
1.32162.538130002.6008
1.33252.961135002.5986
1.33063.384140002.5975
1.32743.807145002.5963
1.32274.230150002.5957
1.3174.653155002.5952

Framework versions

  • —PEFT 0.15.2
  • —Transformers 4.52.4
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.6.0
  • —Tokenizers 0.21.2