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Ferdi/
CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2

Name: CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2
Availability: InStock

generated_from_trainer

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

adapter

llama2

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CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2

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: 0.3588

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: 0.0005
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.2685	10	1.3789
1.6221	0.5369	20	0.6015
1.6221	0.8054	30	0.5153
0.6128	1.0738	40	0.4366
0.6128	1.3423	50	0.4192
0.4311	1.6107	60	0.3731
0.4311	1.8792	70	0.3588

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-rank32-2epochs-v2

CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ferdi/
CodeLlama-7b-Instruct-hf-FaVe-rank32-2epochs-v2