phi3mini_4k_i_RE_QA_alpha16_r_16

cmill32405/phi3mini_4k_i_RE_QA_alpha16_r_16

phi3mini_4k_i_RE_QA_alpha16_r_16 is a machine learning model from cmill32405. 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: Aug 1, 2024
Updated: Aug 1, 2024
SHA: bc96de90

Base models

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

Model card

From the Hugging Face model README

phi3mini_4k_i_RE_QA_alpha16_r_16

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4520

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.8239	0.1187	100	0.5562
0.5517	0.2374	200	0.4838
0.522	0.3561	300	0.4682
0.5106	0.4748	400	0.4602
0.5055	0.5935	500	0.4563
0.4995	0.7122	600	0.4534
0.4966	0.8309	700	0.4525
0.4977	0.9496	800	0.4520

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: mit
Created: Aug 1, 2024
Updated: Aug 1, 2024