model_output_luh2

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: 1.9295

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: 2
• eval_batch_size: 2
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.5118	0.2385	5000	1.9295
0.9663	0.4769	10000	2.1287
0.5362	0.7154	15000	2.4146
0.2763	0.9539	20000	2.8170
0.1798	1.1923	25000	3.0370
0.1565	1.4308	30000	3.1830
0.143	1.6693	35000	3.2466
0.1259	1.9078	40000	3.3591
0.1062	2.1462	45000	3.5343
0.0987	2.3847	50000	3.7228
0.0934	2.6232	55000	3.8807
0.0901	2.8616	60000	3.9691

Framework versions

• Transformers 4.46.3
• Pytorch 2.3.0
• Datasets 2.16.1
• Tokenizers 0.20.3