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codellamafinetune1 – AI Model by Zintoulou | AlphaNeural AI
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codellamafinetune1
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codellama/CodeLlama-7b-Instruct-hf
finetune
llama2
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codellamafinetune1
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: 0.9399
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
2.7732
2.2839
2.0
2
2.2213
1.8066
3.0
3
1.9344
1.495
4.0
4
1.5703
1.1257
5.0
5
1.3163
0.8016
6.0
6
1.0887
0.5227
7.0
7
0.9648
0.3552
8.0
8
0.9399
Framework versions
Transformers 4.33.0
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.13.3
