bert-tiny-domain-adapted-imdb

This model is a fine-tuned version of prajjwal1/bert-tiny on the imdb dataset. It achieves the following results on the evaluation set:

• Loss: 3.6873
• Perplexity: 39.94

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.1563	1.0	782	3.7462
4.0555	2.0	1564	3.6977
4.0285	3.0	2346	3.6963

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2