idefics-9b-ft-floco / README.md
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metadata
license: other
base_model: HuggingFaceM4/idefics-9b
tags:
  - generated_from_trainer
model-index:
  - name: idefics-9b-ft-floco
    results: []
datasets:
  - mrm8488/FloCo
language:
  - en
  - es
pipeline_tag: text-to-image

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
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
0.592 0.2 500 0.9356
0.5495 0.4 1000 1.0233
0.4865 0.59 1500 0.9564
0.4604 0.79 2000 0.9482
0.4551 0.99 2500 0.9146
0.3767 1.19 3000 0.9261
0.3894 1.39 3500 0.9387
0.3772 1.58 4000 0.9268
0.2707 1.78 4500 0.9420
0.3411 1.98 5000 0.9423

Framework versions

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