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fly_stack_finetune – AI Model by Dang-gu | AlphaNeural AI
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fly_stack_finetune
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peft
safetensors
trl
sft
generated_from_trainer
bigcode/starcoder2-3b
adapter
bigcode-openrail-m
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fly_stack_finetune
This model is a fine-tuned version of
bigcode/starcoder2-3b
on an unknown dataset.
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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 0
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
training_steps: 10000
Training results
Framework versions
PEFT 0.8.2
Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.18.0
Tokenizers 0.19.1
