codeLlama13B-StaproCoder – AI Model by rreit | AlphaNeural AI

You can deploy this model and start earning money today!

rreit/
codeLlama13B-StaproCoder

like

0

generated_from_trainer

codellama/CodeLlama-13b-hf

Views

No views yet

codeLlama13B-StaproCoder

This model is a fine-tuned version of codellama/CodeLlama-13b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1794

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
0.2404	0.05	100	0.2456
0.289	0.1	200	0.2349
0.236	0.15	300	0.2281
0.1928	0.2	400	0.2200
0.1999	0.25	500	0.2217
0.1697	0.3	600	0.2134
0.1825	0.35	700	0.2129
0.1904	0.4	800	0.2093
0.159	0.45	900	0.2054
0.1448	0.5	1000	0.1994
0.1993	0.55	1100	0.1954
0.2424	0.6	1200	0.1896
0.1385	0.65	1300	0.1891
0.1427	0.7	1400	0.1860
0.2021	0.75	1500	0.1836
0.1884	0.8	1600	0.1824
0.26	0.85	1700	0.1809
0.1641	0.9	1800	0.1799
0.1503	0.95	1900	0.1794
0.1613	1.0	2000	0.1794

Framework versions

PEFT 0.9.0
Transformers 4.39.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2