phi-3-text2sql-sagemaker

truskovskiyk/phi-3-text2sql-sagemaker

phi-3-text2sql-sagemaker is a machine learning model from truskovskiyk. 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 mit.

should probably proofread and complete it, then remove this comment. --

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Repo size

179 MB

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Hugging Face

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.safetensors17.8 MB · 88%

At a glance

Library: peft
License: mit
Access: Public
Created: Jul 28, 2024
Updated: Jul 28, 2024
SHA: ffe413a9

Base models

microsoft/Phi-3-mini-4k-instruct

Model card

From the Hugging Face model README

phi-3-text2sql-sagemaker

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7747

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0	0	2.8740
1.3554	0.1072	500	0.8899
0.8559	0.2143	1000	0.8313
0.8154	0.3215	1500	0.8094
0.7986	0.4287	2000	0.7940
0.79	0.5358	2500	0.7870
0.7877	0.6430	3000	0.7806
0.7806	0.7502	3500	0.7769
0.773	0.8574	4000	0.7752
0.7737	0.9645	4500	0.7747

Framework versions

PEFT 0.11.1
Transformers 4.42.3
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Jul 28, 2024
Updated: Jul 28, 2024