metadata
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: []
LORA_gemma_trained_on_MMLU_5shot_test
This model is a fine-tuned version of 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