metadata

license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
  - generated_from_trainer
model-index:
  - name: Llama-2-7b-hf-finetuned-py-to-cpp
    results: []
pipeline_tag: text-generation
library_name: transformers

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