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yalhessi/
lemexp-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-8lr-24epochs-eos

peft

safetensors

generated_from_trainer

deepseek-ai/deepseek-coder-1.3b-base

adapter

other

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lemexp-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-8lr-24epochs-eos

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1882

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: 0.0008
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 24
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3243	0.4001	1440	0.2947
0.2737	0.8002	2880	0.2755
0.2463	1.2003	4320	0.2620
0.2389	1.6004	5760	0.2570
0.2342	2.0006	7200	0.2518
0.2237	2.4007	8640	0.2492
0.2216	2.8008	10080	0.2380
0.2104	3.2009	11520	0.2318
0.2076	3.6010	12960	0.2281
0.2087	4.0011	14400	0.2299
0.2011	4.4012	15840	0.2211
0.199	4.8013	17280	0.2192
0.1893	5.2014	18720	0.2117
0.1935	5.6016	20160	0.2185
0.1895	6.0017	21600	0.2080
0.1841	6.4018	23040	0.2015
0.184	6.8019	24480	0.2029
0.1755	7.2020	25920	0.2010
0.1762	7.6021	27360	0.2034
0.1775	8.0022	28800	0.1958
0.1666	8.4023	30240	0.1979
0.1673	8.8024	31680	0.2012
0.1606	9.2026	33120	0.1933
0.1629	9.6027	34560	0.1895
0.1596	10.0028	36000	0.1885
0.1526	10.4029	37440	0.1883
0.1545	10.8030	38880	0.1863
0.1454	11.2031	40320	0.1857
0.146	11.6032	41760	0.1823
0.1491	12.0033	43200	0.1791
0.1395	12.4034	44640	0.1829
0.142	12.8036	46080	0.1781
0.131	13.2037	47520	0.1792
0.1323	13.6038	48960	0.1823
0.1339	14.0039	50400	0.1795
0.1261	14.4040	51840	0.1737
0.1279	14.8041	53280	0.1788
0.1168	15.2042	54720	0.1754
0.1199	15.6043	56160	0.1740
0.121	16.0044	57600	0.1753
0.1125	16.4046	59040	0.1723
0.1151	16.8047	60480	0.1719
0.1053	17.2048	61920	0.1718
0.106	17.6049	63360	0.1691
0.1073	18.0050	64800	0.1723
0.0973	18.4051	66240	0.1691
0.1009	18.8052	67680	0.1661
0.0908	19.2053	69120	0.1781
0.0926	19.6054	70560	0.1742
0.093	20.0056	72000	0.1732
0.086	20.4057	73440	0.1750
0.0881	20.8058	74880	0.1754
0.0818	21.2059	76320	0.1779
0.0809	21.6060	77760	0.1774
0.0815	22.0061	79200	0.1790
0.0746	22.4062	80640	0.1856
0.0752	22.8063	82080	0.1831
0.0706	23.2064	83520	0.1869
0.071	23.6066	84960	0.1882

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

yalhessi/lemexp-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-8lr-24epochs-eos

lemexp-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-8lr-24epochs-eos

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yalhessi/
lemexp-task1-v2-template_small_notypes-deepseek-coder-1.3b-base-8lr-24epochs-eos