CoolFace
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mrm8488/idefics-9b-ft-floco

sourceHugging Faceotherupdated 3y agoView on Hugging Face
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Model Card

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IDEFICS (9B) fine-tuned on FloCo Dataset

This model is a fine-tuned version of HuggingFaceM4/idefics-9b on FloCo dataset for flowchart to code downstream task.

It achieves the following results on the test set:

  • —Loss: 0.724

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: 0.0002
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.5920.25000.9356
0.54950.410001.0233
0.48650.5915000.9564
0.46040.7920000.9482
0.45510.9925000.9146
0.37671.1930000.9261
0.38941.3935000.9387
0.37721.5840000.9268
0.27071.7845000.9420
0.34111.9850000.9423

Framework versions

  • —Transformers 4.33.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3