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yalhessi/
full-4e4-nodefs

Name: full-4e4-nodefs
Availability: InStock

peft

safetensors

generated_from_trainer

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

adapter

other

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full-4e4-nodefs

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: 7.8778

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
0.3747	0.2	3094	0.1750
0.3377	0.4	6188	0.1573
0.3179	0.6	9282	0.1492
0.3015	0.8	12376	0.1446
0.2916	1.0	15470	0.1394
0.2723	1.2	18564	0.1373
0.2765	1.4	21658	0.1329
0.2637	1.6	24752	0.1312
0.2648	1.8	27846	0.1286
0.2551	2.0	30940	0.1283
2.8869	2.2	34034	2.0487
6.2984	2.4	37128	nan
15.7169	2.6	40222	7.8778
15.7148	2.8	43316	7.8778
15.7185	3.0	46410	7.8778
15.7242	3.2	49504	7.8778
15.7111	3.4	52598	7.8778
15.7226	3.6	55692	7.8778
15.7121	3.8	58786	7.8778
15.7189	4.0	61880	7.8778
15.7218	4.2	64974	7.8778
15.7247	4.4	68068	7.8778
15.7286	4.6	71162	7.8778
15.7142	4.8	74256	7.8778
15.7126	5.0	77350	7.8778
15.7211	5.2	80444	7.8778
15.7267	5.4	83538	7.8778
15.7275	5.6	86632	7.8778
15.7127	5.8	89726	7.8778
15.7225	6.0	92820	7.8778
15.7121	6.2	95914	7.8778
15.724	6.4	99008	7.8778
15.7068	6.6	102102	7.8778
15.7184	6.8	105196	7.8778
15.7215	7.0	108290	7.8778
15.7447	7.2	111384	7.8778
15.6922	7.4	114478	7.8778
15.7276	7.6	117572	7.8778
15.7394	7.8	120666	7.8778
15.7261	8.0	123760	7.8778
15.7231	8.2	126854	7.8778
15.7186	8.4	129948	7.8778
15.7168	8.6	133042	7.8778
15.7139	8.8	136136	7.8778
15.7314	9.0	139230	7.8778
15.7223	9.2	142324	7.8778
15.7068	9.4	145418	7.8778
15.6915	9.6	148512	7.8778
15.7315	9.8	151606	7.8778
15.7142	10.0	154700	7.8778
15.7252	10.2	157794	7.8778
15.7295	10.4	160888	7.8778
15.7258	10.6	163982	7.8778
15.7162	10.8	167076	7.8778
15.7111	11.0	170170	7.8778
15.7289	11.2	173264	7.8778
15.7031	11.4	176358	7.8778
15.7102	11.6	179452	7.8778
15.7186	11.8	182546	7.8778
15.7179	12.0	185640	7.8778

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-nodefs

full-4e4-nodefs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yalhessi/
full-4e4-nodefs