cls_sentiment_phi3_v1

Sorour/cls_sentiment_phi3_v1

cls_sentiment_phi3_v1 is a machine learning model from Sorour. 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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Hugging Face

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.safetensors201 MB · 99%

At a glance

Library: peft
License: mit
Access: Public
Created: May 20, 2024
Updated: May 20, 2024
SHA: 9f631444

Base models

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

Datasets

generator

Model card

From the Hugging Face model README

cls_sentiment_phi3_v1

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

Loss: 0.7122

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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9066	0.2083	50	0.9011
0.854	0.4167	100	0.8419
0.787	0.625	150	0.8062
0.7476	0.8333	200	0.7764
0.7141	1.0417	250	0.7636
0.6989	1.25	300	0.7528
0.6482	1.4583	350	0.7397
0.6537	1.6667	400	0.7207
0.6526	1.875	450	0.7122

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 20, 2024
Updated: May 20, 2024