gm-lora-float32-idefics2-8b-midefics-cpu

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: 0.7164

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-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 80
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.3207	0.4211	20	1.1021
0.9194	0.8421	40	0.7737
0.7603	1.2632	60	0.7334
0.7111	1.6842	80	0.7164

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1