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finetuningqv1 – AI Model by Zintoulou | AlphaNeural AI
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Zintoulou
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finetuningqv1
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peft
pytorch
tensorboard
safetensors
llama
generated_from_trainer
codellama/CodeLlama-7b-Instruct-hf
adapter
llama2
us
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finetuningqv1
This model is a fine-tuned version of
codellama/CodeLlama-7b-Instruct-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0262
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: 0.001
train_batch_size: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
2.688
1.0
1
2.7935
2.3134
2.0
2
2.3100
1.8897
3.0
3
2.0244
1.5882
4.0
4
1.7493
1.3105
5.0
5
1.4693
1.0045
6.0
6
1.2401
0.7371
7.0
7
1.0937
0.5443
8.0
8
1.0262
Framework versions
Transformers 4.36.0
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.1
Training procedure
Framework versions
PEFT 0.6.0
