rationale_model_e3_save5000_f2

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9490

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.755	0.1907	1000	1.9490
1.4087	0.3815	2000	2.0212
0.9951	0.5722	3000	2.2073
0.6546	0.7629	4000	2.4321
0.3825	0.9537	5000	2.7536
0.2015	1.1444	6000	2.9396
0.1741	1.3351	7000	3.0700
0.1463	1.5258	8000	3.1767
0.1305	1.7166	9000	3.3858
0.1178	1.9073	10000	3.4989
0.0991	2.0980	11000	3.5767
0.0961	2.2888	12000	3.7036
0.095	2.4795	13000	3.8034
0.0894	2.6702	14000	3.9220
0.0862	2.8610	15000	3.9916

Framework versions

• Transformers 4.45.0
• Pytorch 2.3.0
• Datasets 2.14.4
• Tokenizers 0.20.3