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yalhessi/
full-4e4-defs-types

Name: full-4e4-defs-types
Availability: InStock

peft

safetensors

generated_from_trainer

deepseek-ai/deepseek-coder-6.7b-base

adapter

other

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full-4e4-defs-types

This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0943

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: 0.0004
train_batch_size: 4
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 4
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: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3755	0.2	3094	0.1754
0.3352	0.4	6188	0.1627
0.3157	0.6	9282	0.1467
0.2993	0.8	12376	0.1441
0.2881	1.0	15470	0.1377
0.2713	1.2	18564	0.1359
0.2752	1.4	21658	0.1280
0.2623	1.6	24752	0.1256
0.2598	1.8	27846	0.1265
0.2527	2.0	30940	0.1215
0.241	2.2	34034	0.1225
0.2395	2.4	37128	0.1213
0.2348	2.6	40222	0.1227
0.2343	2.8	43316	0.1160
0.2354	3.0	46410	0.1170
0.2163	3.2	49504	0.1159
0.2208	3.4	52598	0.1146
0.215	3.6	55692	0.1154
0.2169	3.8	58786	0.1125
0.2175	4.0	61880	0.1088
0.2001	4.2	64974	0.1115
0.2018	4.4	68068	0.1091
0.1995	4.6	71162	0.1103
0.194	4.8	74256	0.1065
0.1956	5.0	77350	0.1046
0.18	5.2	80444	0.1050
0.1826	5.4	83538	0.1047
0.1834	5.6	86632	0.1026
0.1812	5.8	89726	0.1005
0.1788	6.0	92820	0.1006
0.1614	6.2	95914	0.1008
0.1633	6.4	99008	0.0997
0.1674	6.6	102102	0.1003
0.1696	6.8	105196	0.0976
0.1652	7.0	108290	0.0954
0.1468	7.2	111384	0.0972
0.1448	7.4	114478	0.0953
0.1513	7.6	117572	0.0954
0.1468	7.8	120666	0.0970
0.1495	8.0	123760	0.0933
0.1293	8.2	126854	0.0946
0.1302	8.4	129948	0.0937
0.1308	8.6	133042	0.0942
0.134	8.8	136136	0.0909
0.1334	9.0	139230	0.0925
0.1159	9.2	142324	0.0941
0.1165	9.4	145418	0.0941
0.1166	9.6	148512	0.0939
0.1175	9.8	151606	0.0924
0.1138	10.0	154700	0.0918
0.1007	10.2	157794	0.0944
0.101	10.4	160888	0.0936
0.1004	10.6	163982	0.0916
0.1009	10.8	167076	0.0918
0.101	11.0	170170	0.0918
0.09	11.2	173264	0.0953
0.0848	11.4	176358	0.0952
0.0858	11.6	179452	0.0946
0.0859	11.8	182546	0.0953
0.0846	12.0	185640	0.0943

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.1

yalhessi/full-4e4-defs-types

full-4e4-defs-types

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yalhessi/
full-4e4-defs-types