rationale_model_e10_save5000

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: 2.6975

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.3986	0.9538	5000	2.6975
0.1468	1.9077	10000	3.2221
0.1156	2.8615	15000	3.4922
0.0981	3.8153	20000	3.6490
0.0847	4.7692	25000	3.8345
0.0704	5.7230	30000	3.9968
0.0551	6.6768	35000	4.2504
0.0433	7.6307	40000	4.5271
0.0354	8.5845	45000	4.7534
0.0317	9.5383	50000	4.9696

Framework versions

• Transformers 4.46.3
• Pytorch 2.3.0
• Datasets 2.14.4
• Tokenizers 0.20.3