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Ferdi/
CodeLlama-7b-Instruct-hf-FaVe-rank16-1epochs

generated_from_trainer

meta-llama/CodeLlama-7b-Instruct-hf

adapter

llama2

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CodeLlama-7b-Instruct-hf-FaVe-rank16-1epochs

This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5487

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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.2685	10	1.2379
1.518	0.5369	20	0.6202
1.518	0.8054	30	0.5487

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Ferdi/CodeLlama-7b-Instruct-hf-FaVe-rank16-1epochs

CodeLlama-7b-Instruct-hf-FaVe-rank16-1epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ferdi/
CodeLlama-7b-Instruct-hf-FaVe-rank16-1epochs