33e096b6e580d5322733859d9f65d20a

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the contemmcm/clickbait dataset. It achieves the following results on the evaluation set:

• Loss: 0.5677
• Data Size: 0.125
• Epoch Runtime: 19.8320
• Accuracy: 0.9884
• F1 Macro: 0.9877

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	3.0334	0	7.2967	0.6128	0.6093
No log	1	650	0.1917	0.0078	7.8576	0.9925	0.9921
No log	2	1300	1.2754	0.0156	9.0468	0.9730	0.9719
No log	3	1950	3.0198	0.0312	11.2595	0.8009	0.7570
No log	4	2600	0.6380	0.0625	13.8333	0.9898	0.9893
0.0544	5	3250	0.5677	0.125	19.8320	0.9884	0.9877

Framework versions

• Transformers 4.57.0
• Pytorch 2.8.0+cu128
• Datasets 4.3.0
• Tokenizers 0.22.1