flippa-v6

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5640

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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
1.9009	1.0	500	1.9374
1.6797	2.0	1000	1.7561
1.5561	3.0	1500	1.6929
1.5276	4.0	2000	1.6550
1.5116	5.0	2500	1.6310
1.465	6.0	3000	1.6144
1.4707	7.0	3500	1.6029
1.4412	8.0	4000	1.5939
1.4494	9.0	4500	1.5857
1.4433	10.0	5000	1.5791
1.4348	11.0	5500	1.5734
1.4185	12.0	6000	1.5696
1.404	13.0	6500	1.5665
1.4087	14.0	7000	1.5648
1.4268	15.0	7500	1.5640

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1