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albertus-deepseek-coder – AI Model by woody72 | AlphaNeural AI
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woody72
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albertus-deepseek-coder
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transformers
safetensors
llama
text-generation
trl
sft
generated_from_trainer
deepseek-ai/deepseek-coder-1.3b-base
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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albertus-deepseek-coder
This model is a fine-tuned version of
deepseek-ai/deepseek-coder-1.3b-base
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 58
num_epochs: 3
Training results
Framework versions
Transformers 4.37.2
Pytorch 2.1.0a0+32f93b1
Datasets 2.17.1
Tokenizers 0.15.2
