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LORA_gemma_trained_on_MMLU_5shot_test – AI Model by justshao | AlphaNeural AI
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justshao
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LORA_gemma_trained_on_MMLU_5shot_test
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peft
safetensors
generated_from_trainer
justshao/gemma-7b-with-confidence
adapter
gemma
us
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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
