txsa-sentiment-distilbert-HPO

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

• eval_loss: 0.7452138662338257
• eval_accuracy: 0.865
• eval_f1: 0.8651841922164538
• eval_precision: 0.8702462003022201
• eval_recall: 0.865

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 9.734765329618898e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2