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:
1training_arguments = TrainingArguments(
2 output_dir='./results',
3 num_train_epochs=8,
4 per_device_train_batch_size=4,
5 gradient_accumulation_steps=2,
6 optim="paged_adamw_32bit",
7 save_steps=0,
8 logging_steps=10,
9 learning_rate=2e-4,
10 weight_decay=0.1, # Utilisation d'une valeur plus élevée pour la régularisation L2
11 fp16=True,
12 max_grad_norm=1.0, # Réduire la taille maximale des gradients pour éviter les explosions de gradients
13 max_steps=-1,
14 warmup_ratio=0.1, # Augmentation du ratio de warmup
15 group_by_length=True,
16 lr_scheduler_type="constant", # Utilisation d'un taux d'apprentissage constant
17 report_to="tensorboard"
18)
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Evaluation
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Testing Data
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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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