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peft-starcoder-lora-a100 – AI Model by Avkashkumar | AlphaNeural AI
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peft-starcoder-lora-a100
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peft
safetensors
generated_from_trainer
bigcode/starcoderbase-1b
adapter
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: 0.3409
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
0.5544
0.2
100
0.5096
0.4033
0.4
200
0.3923
0.3529
0.6
300
0.3581
0.333
0.8
400
0.3436
0.3282
1.0
500
0.3409
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1