End of training

README.md

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+---
+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

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