reformer_model

This model is a fine-tuned version of google/reformer-crime-and-punishment on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6693
• Accuracy: 0.561

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
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6841	1.0	625	0.6725	0.559
0.6789	2.0	1250	0.6693	0.561

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cpu
• Datasets 2.19.1
• Tokenizers 0.19.1