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peft-starcoder2-3b-300steps – AI Model by AbdulmalikAdeyemo | AlphaNeural AI
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peft-starcoder2-3b-300steps
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peft
tensorboard
safetensors
generated_from_trainer
bigcode/starcoder2-3b
adapter
bigcode-openrail-m
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peft-starcoder2-3b-300steps
This model is a fine-tuned version of
bigcode/starcoder2-3b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5512
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 300
Training results
Training Loss
Epoch
Step
Validation Loss
1.7386
0.3333
100
0.5461
0.8402
0.6667
200
0.5518
0.7561
1.0
300
0.5512
Framework versions
PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
