Phi-3.5-MultiCap-tool-embedding-proj

sofyc/Phi-3.5-MultiCap-tool-embedding-proj

Phi-3.5-MultiCap-tool-embedding-proj 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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Repo size

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Hugging Face

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.safetensors138 MB · 99%

At a glance

Library: peft
License: mit
Access: Public
Created: Sep 14, 2024
Updated: Sep 14, 2024
SHA: 89d0501a

Base models

microsoft/Phi-3.5-mini-instruct

Model card

From the Hugging Face model README

Phi-3.5-MultiCap-tool-embedding-proj

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: 0.5074

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
0.6733	0.2256	50	0.6596
0.5526	0.4512	100	0.5614
0.5286	0.6768	150	0.5366
0.5743	0.9024	200	0.5238
0.5053	1.1280	250	0.5164
0.4945	1.3536	300	0.5118
0.4652	1.5792	350	0.5089
0.5136	1.8049	400	0.5074

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: Sep 14, 2024
Updated: Sep 14, 2024