potpourri-testtime-finetuning-100_test_aug100

This model is a fine-tuned version of barc0/Llama-3.1-ARC-Potpourri-Transduction-8B on the barc0/100_subset_test_aug_100 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0128

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: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.0168	0.9989	451	0.0255
0.0092	2.0	903	0.0133
0.0019	2.9967	1353	0.0128

Framework versions

• PEFT 0.13.2
• Transformers 4.45.0.dev0
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1