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LORA_gemma_trained_on_MMLU_5shot_test
justshao/LORA_gemma_trained_on_MMLU_5shot_test
LORA_gemma_trained_on_MMLU_5shot_test is a machine learning model from justshao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024
- SHA
- d67351a1
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- peft
- License
- gemma
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024