bert-base-uncased-finetuned-imdb

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2082

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: 3e-06
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	60	6.8866
No log	2.0	120	4.1530
No log	3.0	180	2.8300
No log	4.0	240	2.1248
No log	5.0	300	1.7365
No log	6.0	360	1.5032
No log	7.0	420	1.3602
No log	8.0	480	1.2720
3.649	9.0	540	1.2241
3.649	10.0	600	1.2082

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2