ub_model

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: 2.1722

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

Training results

Training Loss	Epoch	Step	Validation Loss
2.464	1.0	6516	2.3544
2.2053	2.0	13032	2.2005
1.9738	3.0	19548	2.1722

Framework versions

• Transformers 4.30.1
• Pytorch 1.13.1+cu116
• Datasets 2.12.0
• Tokenizers 0.13.3