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LORA_trained_on_MMLU_5shot_test – AI Model by justshao | AlphaNeural AI | AlphaNeural AI
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justshao
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LORA_trained_on_MMLU_5shot_test
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peft
safetensors
generated_from_trainer
justshao/llama2-test
adapter
llama2
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LORA_trained_on_MMLU_5shot_test
This model is a fine-tuned version of
justshao/llama2-test
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5586
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
0.5992
1.0
877
0.5707
0.5572
2.0
1755
0.5622
0.541
3.0
2632
0.5613
0.5304
4.0
3510
0.5583
0.5259
5.0
4385
0.5586
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
