winzo_feature_classifier_lowercase

This model is a fine-tuned version of knowledgator/comprehend_it-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0379
• Accuracy: 0.9873

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0639	1.0	14345	0.0698	0.9813
0.0328	2.0	28690	0.0416	0.9871
0.0286	3.0	43035	0.0379	0.9873

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0