Lifehouse/distilbert-sql-timeout-classifier-with-trained-tokenizer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-sql-timeout-classifier-with-trained-tokenizer

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

• —Loss: 0.4898
• —Recall: 0.7370
• —Precision: 0.1526
• —Affect Rate: 0.1164
• —Accuracy: 0.8761

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
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

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