distilbert-base-uncased

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2059
• Accuracy: 0.9633

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: 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	490	0.2683	0.9459
0.1658	2.0	980	0.2059	0.9633

Framework versions

• Transformers 4.27.1
• Pytorch 2.0.0+cu118
• Datasets 2.10.1
• Tokenizers 0.13.2