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20240726-kibbe-prod-acr-baseline

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0263

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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • 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
0.9588 0.4310 500 0.0340
0.6942 0.8621 1000 0.0321
0.7587 1.2931 1500 0.0276
0.5448 1.7241 2000 0.0263

Framework versions

  • Transformers 4.44.0.dev0
  • Pytorch 2.1.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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