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peft-starcoder-lora-a100 – AI Model by vijaykdass | AlphaNeural AI
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peft-starcoder-lora-a100
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peft
tensorboard
safetensors
generated_from_trainer
bigcode/starcoderbase-1b
adapter
bigcode-openrail-m
us
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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:
eval_loss: 0.9764
eval_runtime: 460.8363
eval_samples_per_second: 19.031
eval_steps_per_second: 1.191
epoch: 0.4
step: 400
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: 16
eval_batch_size: 16
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
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
