distilbert-sql-timeout-classifier-2024022823

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

• Loss: 0.6255
• Accuracy: 0.8432

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: 32
• eval_batch_size: 32
• 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
0.3076	1.0	702	0.4457	0.8545
0.139	2.0	1404	0.5291	0.8296
0.0807	3.0	2106	0.6255	0.8432

Framework versions

• Transformers 4.38.1
• Pytorch 2.2.1+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2