rationale_model_e3_save5000_rp

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: 2.2603

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: 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
1.966	0.1908	1000	2.2603
1.3866	0.3815	2000	2.4390
0.8202	0.5723	3000	2.6035
0.497	0.7631	4000	2.8871
0.3141	0.9538	5000	3.1623
0.2115	1.1446	6000	3.3478
0.1859	1.3354	7000	3.4553
0.159	1.5261	8000	3.5514
0.1431	1.7169	9000	3.6509
0.127	1.9077	10000	3.7211
0.094	2.0984	11000	3.8280
0.0899	2.2892	12000	3.8603
0.0883	2.4800	13000	3.9257
0.0813	2.6707	14000	3.9864
0.0784	2.8615	15000	4.0649

Framework versions

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