---
license: apache-2.0
base_model: studio-ousia/luke-base
tags:
- generated_from_trainer
model-index:
- name: git_repository
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# git_repository

This model is a fine-tuned version of [studio-ousia/luke-base](https://huggingface.co/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