rationale_model_e3_save5000_f4

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: 1.9369

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
1.7536	0.1907	1000	1.9369
1.3797	0.3813	2000	2.0320
1.0216	0.5720	3000	2.1529
0.6624	0.7626	4000	2.3760
0.3893	0.9533	5000	2.7429
0.1995	1.1439	6000	2.9766
0.1703	1.3346	7000	3.0843
0.1489	1.5253	8000	3.1774
0.1249	1.7159	9000	3.3298
0.1168	1.9066	10000	3.4572
0.0977	2.0972	11000	3.5885
0.0951	2.2879	12000	3.6941
0.092	2.4786	13000	3.7847
0.0894	2.6692	14000	3.9039
0.086	2.8599	15000	3.9903

Framework versions

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