CoolFace
Modelpublic

NasimB/qed-rarity-seed

sourceHugging Facemitupdated 3y agoView on Hugging Face
0likes12downloads
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. -->

qed-rarity-seed

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

  • —Loss: 4.1171

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
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 1000
  • —num_epochs: 6
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
6.35920.295005.3361
5.04540.5810004.9330
4.71180.8815004.6958
4.45831.1720004.5571
4.30491.4625004.4421
4.21871.7530004.3410
4.0992.0535004.2645
3.91572.3440004.2163
3.88962.6345004.1655
3.84872.9250004.1078
3.65483.2155004.1099
3.60513.5160004.0753
3.59473.865004.0445
3.49564.0970004.0427
3.33964.3875004.0386
3.3364.6880004.0234
3.32414.9785004.0114
3.17535.2690004.0252
3.15375.5595004.0240
3.15875.84100004.0228

Framework versions

  • —Transformers 4.26.1
  • —Pytorch 1.11.0+cu113
  • —Datasets 2.13.0
  • —Tokenizers 0.13.3