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lr-all – AI Model by stojchet | AlphaNeural AI
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stojchet
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lr-all
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peft
safetensors
trl
sft
generated_from_trainer
generator
deepseek-ai/deepseek-coder-1.3b-base
adapter
other
us
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lr-all
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-1.3b-base
on the generator 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: 1e-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 3
Training results
Framework versions
PEFT 0.10.0
Transformers 4.43.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
