distilbert-base-uncased-finetuned-imdb

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: 0.2799
• Accuracy: {'accuracy': 0.93148}
• F1: {'f1': 0.9314719475700824}

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2376	1.0	1563	0.2966	{'accuracy': 0.8966}	{'f1': 0.8959598583205258}
0.1671	2.0	3126	0.2331	{'accuracy': 0.92996}	{'f1': 0.9299430382567873}
0.0993	3.0	4689	0.2799	{'accuracy': 0.93148}	{'f1': 0.9314719475700824}

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1