DS-6.7B-schema_2

jdeklerk10/DS-6.7B-schema_2

DS-6.7B-schema_2 is a machine learning model from jdeklerk10. 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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.safetensors610 MB · 100%

At a glance

Library: peft
License: other
Access: Public
Created: Apr 15, 2024
Updated: Apr 15, 2024
SHA: c49ac528

Base models

deepseek-ai/deepseek-coder-6.7b-instruct

Model card

From the Hugging Face model README

DS-6.7B-schema_2

This model is a fine-tuned version of deepseek-ai/deepseek-coder-6.7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1718

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.0235	0.19	50	0.2107
0.0528	0.38	100	0.1890
0.055	0.57	150	0.1867
0.053	0.76	200	0.1722
0.0843	0.95	250	0.1718

Framework versions

PEFT 0.10.0
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: other
Created: Apr 15, 2024
Updated: Apr 15, 2024