rubik_roberta_clm

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4334

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: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.9546	1.0	1013	0.6345
0.6725	2.0	2026	0.4716
0.5975	3.0	3039	0.4334

Framework versions

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