deepseek_coder_v2

johnnychang4/deepseek_coder_v2

deepseek_coder_v2 is a machine learning model from johnnychang4. 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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Hugging Face

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At a glance

Library: peft
License: other
Access: Public
Created: Jul 5, 2024
Updated: Jul 5, 2024
SHA: 131698f3

Base models

deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct

Model card

From the Hugging Face model README

deepseek_coder_v2

This model is a fine-tuned version of deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1922

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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4005	0.1613	5	0.3098
0.2848	0.3226	10	0.2342
0.2249	0.4839	15	0.2092
0.2221	0.6452	20	0.2001
0.2141	0.8065	25	0.1949
0.2094	0.9677	30	0.1922

Framework versions

PEFT 0.11.1
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: other
Created: Jul 5, 2024
Updated: Jul 5, 2024