cs224u-hw_sentiment

This model is a fine-tuned version of distilbert-base-uncased.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 128
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.37.1
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2