distilbert-base-uncased-finetuned-imdb-tag

This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:

• Loss: 0.2215
• Accuracy: 0.9672

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

For 90% of the sentences, added 10/10 at the end of the sentences with the label 1, and 1/10 with the label 0.

Training procedure

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0895	1.0	1250	0.1332	0.9638
0.0483	2.0	2500	0.0745	0.9772
0.0246	3.0	3750	0.1800	0.9666
0.0058	4.0	5000	0.1370	0.9774
0.0025	5.0	6250	0.2215	0.9672

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1