rubik_roberta

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

• Loss: 0.0512

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1666	1.0	3334	0.1127
0.0928	2.0	6668	0.0649
0.0707	3.0	10002	0.0509

Framework versions

• Transformers 4.36.2
• Pytorch 2.3.0.dev20240108
• Datasets 2.16.1
• Tokenizers 0.15.0