This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the efficoder dataset. It achieves the following results on the evaluation set:

Loss: 0.3331

Model description

train on EFFIINSTRUCT_python

Intended uses & limitations

generate effective code

Training and evaluation data

train on EFFIINSTRUCT_python

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-06
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.2475	0.3401	50	0.2433
0.2425	0.6803	100	0.2314
0.2147	1.0204	150	0.2318
0.1702	1.3605	200	0.2378
0.1758	1.7007	250	0.2396
0.1438	2.0408	300	0.2643
0.0989	2.3810	350	0.2823
0.0991	2.7211	400	0.2799
0.065	3.0612	450	0.3123
0.0601	3.4014	500	0.3348
0.0645	3.7415	550	0.3324

Framework versions

Transformers 4.44.2
Pytorch 2.2.2+cu121
Datasets 4.8.4
Tokenizers 0.19.1

dty1aaa/codellama-7b-instruct-hf-sft

final_sft_CodeLlama-7b-Instruct-hf