phi3_5_mini_instruct_lora_chemical_eng_flashattn_final

ShilpaSandhya/phi3_5_mini_instruct_lora_chemical_eng_flashattn_final

phi3_5_mini_instruct_lora_chemical_eng_flashattn_final is a machine learning model from ShilpaSandhya. 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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At a glance

Library: peft
License: mit
Access: Public
Created: Oct 5, 2024
Updated: Oct 6, 2024
SHA: 6dd82a67

Base models

microsoft/Phi-3.5-mini-instruct

Model card

From the Hugging Face model README

phi3_5_mini_instruct_lora_chemical_eng_flashattn_final

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1576

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: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.162	0.7319	100	0.1612
0.1549	1.4639	200	0.1590
0.1548	2.1958	300	0.1579
0.1581	2.9277	400	0.1576

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: Oct 5, 2024
Updated: Oct 6, 2024