distilbert-base-uncased-finetuned-support-ticket

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: 0.4001
• Accuracy: 0.8635
• F1: 0.8632

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: 64
• eval_batch_size: 64
• 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	F1
No log	1.0	572	0.4528	0.8512	0.8515
0.5925	2.0	1144	0.4001	0.8635	0.8632

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.19.1