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peft-lora-starcoder1B-Instruction-ny8-MIX – AI Model by ZiHDeng | AlphaNeural AI
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ZiHDeng
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peft-lora-starcoder1B-Instruction-ny8-MIX
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peft
tensorboard
safetensors
generated_from_trainer
bigcode/starcoderbase-1b
adapter
bigcode-openrail-m
us
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peft-lora-starcoder1B-Instruction-ny8-MIX
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: 0.1670
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: 150
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1662
0.67
100
0.1670
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0
