peft-starcoder-lora-a100 – AI Model by rahkrish1 | AlphaNeural AI

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peft-starcoder-lora-a100

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bigcode/starcoderbase-1b

bigcode-openrail-m

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peft-starcoder-lora-a100

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: 0.9646

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: 2
eval_batch_size: 2
seed: 42
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: cosine
lr_scheduler_warmup_steps: 30
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
1.153	0.1	100	0.9261
1.1271	0.2	200	0.9381
0.906	0.3	300	0.9582
1.028	0.4	400	0.9719
1.0547	0.5	500	0.9610
1.0747	0.6	600	0.9606
0.7872	0.7	700	0.9623
0.7992	0.8	800	0.9618
0.872	0.9	900	0.9631
1.0033	1.0	1000	0.9646

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0