distilbert-lolchamps

This model is a fine-tuned version of distilbert-base-uncased on a LoL-Champions-Corpus dataset. It achieves the following results on the evaluation set:

• Loss: 2.0446

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: 64
• eval_batch_size: 64
• 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
2.7422	1.0	49	2.3202
2.3298	2.0	98	2.1095
2.1925	3.0	147	2.0556

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1