Phi-3.5-MultiCap-mt

sofyc/Phi-3.5-MultiCap-mt

Phi-3.5-MultiCap-mt is a machine learning model from sofyc. 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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At a glance

Library: peft
License: mit
Access: Public
Created: Sep 2, 2024
Updated: Sep 2, 2024
SHA: 08d7db75

Base models

microsoft/Phi-3.5-mini-instruct

Model card

From the Hugging Face model README

Phi-3.5-MultiCap-mt

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7569

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.4288	0.1533	15	1.3449
1.0894	0.3065	30	1.1240
0.9541	0.4598	45	0.9830
0.9216	0.6130	60	0.8949
0.8675	0.7663	75	0.8414
0.8007	0.9195	90	0.8108
0.8205	1.0728	105	0.7919
0.7864	1.2261	120	0.7794
0.7983	1.3793	135	0.7705
0.7784	1.5326	150	0.7641
0.744	1.6858	165	0.7595
0.7765	1.8391	180	0.7569

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Sep 2, 2024
Updated: Sep 2, 2024