hybrid_lexical_hosting_domain_cat_meta_no_feat

This model is a fine-tuned version of gechim/metadata-cls_15_10 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 27099327641991577075712.0000
• Accuracy: 0.4757
• F1: 0.3223

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: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2445
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
29348392201127093862400.0000	1.0	978	28644084832177794056192.0000	0.4757	0.3223
29441267875741807149056.0000	2.0	1956	30306638174217513730048.0000	0.4757	0.3223
29386125894096699523072.0000	3.0	2934	27099327641991577075712.0000	0.4757	0.3223

Framework versions

• Transformers 4.57.1
• Pytorch 2.6.0+cu124
• Datasets 4.1.1
• Tokenizers 0.22.1