distilroberta-base-finetuned-wikitext2

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6098

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
1.9194	1.0	599	1.6841
1.8124	2.0	1198	1.6383
1.7853	3.0	1797	1.6111

Framework versions

• Transformers 4.41.1
• Pytorch 2.1.0+cu118
• Datasets 2.19.1
• Tokenizers 0.19.1