workspace

This model is a fine-tuned version of google/paligemma-3b-pt-224 on the ecgt_vision dataset. It achieves the following results on the evaluation set:

• Loss: 0.0009

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
3.3557	0.9961	129	0.0054
0.0039	2.0	259	0.0015
0.0008	2.9961	388	0.0011
0.0003	4.0	518	0.0010
0.0002	4.9807	645	0.0009

Framework versions

• PEFT 0.11.1
• Transformers 4.41.0
• Pytorch 2.0.1+cu118
• Datasets 2.19.1
• Tokenizers 0.19.1