phi-3-mini-4k-finetuned-terraform

Sabyasachi/phi-3-mini-4k-finetuned-terraform

phi-3-mini-4k-finetuned-terraform is a machine learning model from Sabyasachi. 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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50.4 MB

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Nov 16, 2024
Updated: Nov 16, 2024
SHA: af6fff6c

Base models

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

Model card

From the Hugging Face model README

phi-3-mini-4k-finetuned-terraform

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: 6.2800

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.4689	0.9778	11	7.4284
7.6557	1.9556	22	6.5914
6.9515	2.9333	33	6.2800

Framework versions

PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.1.0+cu118
Datasets 3.1.0
Tokenizers 0.20.3

Library: peft
License: mit
Created: Nov 16, 2024
Updated: Nov 16, 2024