ivan-kleshnin/leadscanr-messageClassifier-type

leadscanr-classifier-messageType

This model is a fine-tuned version of jhu-clsp/mmBERT-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7676
• Accuracy: 0.9394

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: 30
• eval_batch_size: 30
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 60
• 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
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4148	1.0	116	0.7676	0.9394

Framework versions

• PEFT 0.16.0
• Transformers 4.53.3
• Pytorch 2.6.0+cu124
• Datasets 4.1.1
• Tokenizers 0.21.2