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Llama-2-7b-hf-finetuned-py-to-cpp – AI Model by hugo-albert | AlphaNeural AI
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Llama-2-7b-hf-finetuned-py-to-cpp
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transformers
generated_from_trainer
text-generation
meta-llama/Llama-2-7b-hf
finetune
llama2
endpoints_compatible
us
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Llama-2-7b-hf-finetuned-py-to-cpp
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3938
Test evaluation:
BLEU: 60.09
COMET: 87.40
CODEBLEU: 74.17
N-gram match: 63.15
Weighted n-gram match: 78.82
Syntax match: 72.65
Dataflow match: 82.08
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: 0.0001
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
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.99
67
0.6338
No log
2.0
135
0.4313
No log
2.98
201
0.3938
Framework versions
Transformers 4.33.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.13.3
