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tmnam20/
codellama_instruct_spider_e10

Name: codellama_instruct_spider_e10
Availability: InStock

generated_from_trainer

tmnam20/SpiderInstruct

codellama/CodeLlama-7b-Instruct-hf

finetune

llama2

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codellama_instruct_spider_e10

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the tmnam20/SpiderInstruct dataset. It achieves the following results on the evaluation set:

Loss: 0.2393

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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.822	0.37	100	0.5313
0.3014	0.74	200	0.2763
0.2091	1.11	300	0.2469
0.1697	1.48	400	0.2401
0.1495	1.85	500	0.2395
0.1256	2.22	600	0.2525
0.1097	2.59	700	0.2641
0.1107	2.96	800	0.2617
0.0951	3.33	900	0.2683
0.0882	3.7	1000	0.2892
0.0818	4.06	1100	0.3134
0.075	4.43	1200	0.2978
0.0745	4.8	1300	0.3095
0.0642	5.17	1400	0.3261
0.0622	5.54	1500	0.3201
0.0573	5.91	1600	0.3343
0.0552	6.28	1700	0.3396
0.0523	6.65	1800	0.3602
0.0538	7.02	1900	0.3464
0.0467	7.39	2000	0.3622
0.0465	7.76	2100	0.3697
0.044	8.13	2200	0.3890
0.043	8.5	2300	0.3785
0.0375	8.87	2400	0.3860
0.0384	9.24	2500	0.3952
0.0363	9.61	2600	0.3940
0.0352	9.98	2700	0.3985

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

tmnam20/codellama_instruct_spider_e10

codellama_instruct_spider_e10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tmnam20/
codellama_instruct_spider_e10