peft-lora-starcoder1B-Instruction-ny8 – AI Model by ZiHDeng | AlphaNeural AI

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ZiHDeng/
peft-lora-starcoder1B-Instruction-ny8

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bigcode/starcoderbase-1b

bigcode-openrail-m

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peft-lora-starcoder1B-Instruction-ny8

This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7359

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_steps: 30
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2429	0.05	100	0.2525
0.2099	0.1	200	0.2812
0.0957	0.15	300	0.4394
0.0277	0.2	400	0.5758
0.015	0.25	500	0.6307
0.0144	0.3	600	0.6582
0.0122	0.35	700	0.6811
0.0105	0.4	800	0.6984
0.0116	0.45	900	0.7030
0.0101	0.5	1000	0.7078
0.0097	0.55	1100	0.7047
0.0091	0.6	1200	0.7144
0.0087	0.65	1300	0.7196
0.0075	0.7	1400	0.7318
0.0082	0.75	1500	0.7242
0.008	0.8	1600	0.7289
0.0078	0.85	1700	0.7322
0.0074	0.9	1800	0.7398
0.0075	0.95	1900	0.7349
0.0073	1.0	2000	0.7359

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0