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Experimental-DeepSeek-V2-Coder-Lite-JUMP-alpha1-LORA
adamo1139/Experimental-DeepSeek-V2-Coder-Lite-JUMP-alpha1-LORA
Experimental-DeepSeek-V2-Coder-Lite-JUMP-alpha1-LORA is a machine learning model from adamo1139. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024
- SHA
- 13aa5f9e
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- peft
- License
- other
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024