problem170_model

This model is a fine-tuned version of barc0/Llama-3.1-ARC-Potpourri-Transduction-8B on the tttx/problem170_data dataset. It achieves the following results on the evaluation set:

• Loss: 0.5968

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.0525	1.0	60	0.6870
0.0224	2.0	120	0.5765
0.0105	1.0	200	0.6354
0.0002	2.0	400	0.5968

Framework versions

• PEFT 0.13.2
• Transformers 4.46.2
• Pytorch 2.4.0+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3