gzipbert_imdb_rpe_250k_v4

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

• Loss: 3.4034
• Accuracy: 0.4951

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: 1e-06
• 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
0.0425	1.0	1563	2.5908	0.5231
0.0357	2.0	3126	2.8405	0.5343
0.0291	3.0	4689	2.8759	0.5562
0.0313	4.0	6252	3.1563	0.5257
0.0288	5.0	7815	3.4034	0.4951

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3