git_repository

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

• eval_loss: 0.0879
• eval_accuracy: 0.9711
• eval_f1_micro: 0.9711
• eval_f1_macro: 0.7540
• eval_runtime: 1097.0563
• eval_samples_per_second: 88.471
• eval_steps_per_second: 3.847
• epoch: 0.2756
• step: 4900

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: 23
• eval_batch_size: 23
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.41.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1