my_not_so_awesome_model

This model is a fine-tuned version of distilbert-base-uncased on a small subset (n=1000) of the imdb dataset. It achieves the following results on the evaluation set:

• Loss: 0.4475
• Accuracy: 0.834

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	32	0.6046	0.632
No log	2.0	64	0.4475	0.834

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2