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finetuning2 – AI Model by Zintoulou | AlphaNeural AI
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Zintoulou
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finetuning2
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peft
tensorboard
safetensors
llama
generated_from_trainer
codellama/CodeLlama-7b-Instruct-hf
adapter
llama2
us
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finetuning2
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: 1.0431
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: 8
eval_batch_size: 8
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
2.7647
2.2859
2.0
2
2.2170
1.8066
3.0
3
1.7549
1.3612
4.0
4
1.6537
1.1751
5.0
5
1.4062
0.8923
6.0
6
1.1878
0.6484
7.0
7
1.0761
0.5149
8.0
8
1.0431
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
