cards-demo-model3

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9271
• F1: 0.7505

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.301	1.0	41	0.9127	0.7477
0.318	2.0	82	0.9173	0.7574
0.2757	3.0	123	0.9271	0.7505

Framework versions

• Transformers 4.21.3
• Pytorch 1.12.1+cu113
• Tokenizers 0.12.1