Model save

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: justshao/gemma-7b-with-confidence
+model-index:
+- name: LORA_gemma_trained_on_MMLU_5shot_test
+  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. -->
+
+# LORA_gemma_trained_on_MMLU_5shot_test
+
+This model is a fine-tuned version of [justshao/gemma-7b-with-confidence](https://huggingface.co/justshao/gemma-7b-with-confidence) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2779
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3002        | 1.0   | 877  | 0.2812          |
+| 0.2731        | 2.0   | 1755 | 0.2820          |
+| 0.2539        | 3.0   | 2632 | 0.2787          |
+| 0.2419        | 4.0   | 3510 | 0.2775          |
+| 0.2351        | 5.0   | 4385 | 0.2779          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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