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: 0.1016
• Accuracy: 0.8986
• F1: 0.8985

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
0.1689	1.0	978	0.1236	0.8666	0.8658
0.1186	2.0	1956	0.1106	0.8819	0.8812
0.0999	3.0	2934	0.1016	0.8986	0.8985

Framework versions

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