cls_fomc_phi3_v1

Sorour/cls_fomc_phi3_v1

cls_fomc_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. --

Downloads · 30 days

26% of all-time downloads

All-time downloads

Public

Repo size

1.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors201 MB · 99%

At a glance

Library: peft
License: mit
Access: Public
Created: May 19, 2024
Updated: May 26, 2024
SHA: c3f67504

Base models

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

Datasets

generator

Model card

From the Hugging Face model README

cls_fomc_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: 0.7320

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
0.8109	0.3883	20	0.7927
0.7639	0.7767	40	0.7570
0.6942	1.1650	60	0.7449
0.6797	1.5534	80	0.7417
0.6899	1.9417	100	0.7320

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 19, 2024
Updated: May 26, 2024