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