CoolFace
Modelpublic

NasimB/all-base-rarity-all-children-rarity-all-iorder-est-5p5k-mostf

sourceHugging Facemitupdated 3y agoView on Hugging Face
0likes24downloads
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. -->

all-base-rarity-all-children-rarity-all-iorder-est-5p5k-mostf

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

  • —Loss: 4.3326

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
6.75250.315005.6457
5.41410.6310005.2112
5.05230.9415004.9580
4.76741.2520004.8174
4.62131.5625004.6915
4.51321.8830004.5796
4.31092.1935004.5205
4.21152.540004.4590
4.16682.8245004.3952
4.02773.1350004.3712
3.88413.4455004.3431
3.87383.7560004.3064
3.79424.0765004.2923
3.59724.3870004.2869
3.59034.6975004.2730
3.56815.0180004.2585
3.39895.3285004.2700
3.39395.6390004.2694
3.39135.9495004.2686

Framework versions

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