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Experimental-DeepSeek-V2-Coder-Lite-JUMP-alpha1-LORA – AI Model by adamo1139 | AlphaNeural AI
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Experimental-DeepSeek-V2-Coder-Lite-JUMP-alpha1-LORA
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Model card
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train_2024-09-01-02-35-42qw
This model is a fine-tuned version of
/media/adamo/usemka/maked/LLM_Models/DeepSeek-Coder-V2-Lite-Base
on the adamo1139/ise-uiuc_Magicoder-Evol-Instruct-110K-ShareGPT 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: 8e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 0.25
Training results
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
