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Timm877/geitje_v2

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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#TODO model card

GEITje-7B-chat-v2

This model is a fine-tuned version of Rijgersberg/GEITje-7B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8011

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-06
  • trainbatchsize: 2
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.78320.056090.8844
0.69040.112180.8698
0.81950.1518270.8583
0.74630.224360.8475
0.67390.2530450.8395
0.76040.336540.8332
0.80240.3542630.8261
0.68810.448720.8203
0.64660.4554810.8167
0.70420.560900.8121
0.7020.5566990.8081
0.72550.673080.8054
0.75580.6579170.8036
0.75870.785260.8022
0.92170.7591350.8016
0.69380.897440.8011
0.69620.85103530.8011
0.6640.9109620.8011
0.65440.95115710.8011
0.67821.0121800.8011

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0