llama3.2-1b-rumour-samples

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: 2.0669
• Accuracy: 0.5449

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: 2.5e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 7788
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7912	0.9967	149	2.3079	0.3846
1.7606	1.9967	298	2.5560	0.4968
1.2727	2.9967	447	1.7913	0.5689
0.8097	3.9967	596	2.2204	0.5401
0.5357	4.9967	745	2.0648	0.5737
0.3045	5.9967	894	1.9878	0.5721
0.2275	6.9967	1043	2.1418	0.5401
0.1082	7.9967	1192	2.0669	0.5449

Framework versions

• Transformers 4.47.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3