distilbert-helpdesk-sentiment

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: 0.0180
• Accuracy: 0.9853
• F1: 0.9853

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: 2
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.1628	100	0.1238	0.9706	0.9704
No log	2.3256	200	0.0514	0.9853	0.9853
No log	3.4884	300	0.0122	1.0	1.0
0.2073	4.6512	400	0.0147	0.9853	0.9853
0.2073	5.8140	500	0.0180	0.9853	0.9853

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1