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starcoder-llm-7b-base – AI Model by marijajolovic | AlphaNeural AI
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marijajolovic
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starcoder-llm-7b-base
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peft
tensorboard
safetensors
generated_from_trainer
bigcode/starcoderbase-7b
adapter
bigcode-openrail-m
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starcoder-llm-7b-base
This model is a fine-tuned version of
bigcode/starcoderbase-7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9413
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: 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_ratio: 0.1
lr_scheduler_warmup_steps: 30
training_steps: 375
Training results
Training Loss
Epoch
Step
Validation Loss
0.5705
0.2667
100
0.9178
0.8332
0.5333
200
0.9455
1.6848
0.8
300
0.9413
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
