metadata

library_name: peft
datasets:
  - xfordanita/code-summary-java
base_model: codellama/CodeLlama-7b-hf

Model Card for Model ID

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the QLoRA by using the method PEFT with library..

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Training Details

Training Data

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Training Procedure

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Training Hyperparameters

Training on Free Kaggle GPU 2*(15GB VRAM) with the following params:

training_arguments = TrainingArguments(
    output_dir='./results',
    num_train_epochs=8,
    per_device_train_batch_size=4,
    gradient_accumulation_steps=2,
    optim="paged_adamw_32bit",
    save_steps=0,
    logging_steps=10,
    learning_rate=2e-4,
    weight_decay=0.1,  # Utilisation d'une valeur plus élevée pour la régularisation L2
    fp16=True,
    max_grad_norm=1.0,  # Réduire la taille maximale des gradients pour éviter les explosions de gradients
    max_steps=-1,
    warmup_ratio=0.1,  # Augmentation du ratio de warmup
    group_by_length=True,
    lr_scheduler_type="constant",  # Utilisation d'un taux d'apprentissage constant
    report_to="tensorboard"
)

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Evaluation

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Testing Data

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Results

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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