distilbert-base-uncased-date

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

• Loss: 0.2773
• Precision: 0.0
• Recall: 0.0
• F1: 0.0
• Accuracy: 0.9259

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: 11

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	1	0.5215	0.0	0.0	0.0	0.9259
No log	2.0	2	0.4264	0.0	0.0	0.0	0.9259
No log	3.0	3	0.3649	0.0	0.0	0.0	0.9259
No log	4.0	4	0.3289	0.0	0.0	0.0	0.9259
No log	5.0	5	0.3099	0.0	0.0	0.0	0.9259
No log	6.0	6	0.2992	0.0	0.0	0.0	0.9259
No log	7.0	7	0.2920	0.0	0.0	0.0	0.9259
No log	8.0	8	0.2865	0.0	0.0	0.0	0.9259
No log	9.0	9	0.2821	0.0	0.0	0.0	0.9259
No log	10.0	10	0.2790	0.0	0.0	0.0	0.9259
No log	11.0	11	0.2773	0.0	0.0	0.0	0.9259

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3