lora_fine_tuned_copa_sloberta

anzeo/lora_fine_tuned_copa_sloberta

lora_fine_tuned_copa_sloberta is a machine learning model from anzeo. 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 cc-by-sa-4.0.

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: cc-by-sa-4.0
Access: Public
Created: May 21, 2024
Updated: May 21, 2024
SHA: f642ea81

Base models

EMBEDDIA/sloberta

Model card

From the Hugging Face model README

lora_fine_tuned_copa_sloberta

This model is a fine-tuned version of EMBEDDIA/sloberta on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6931
Accuracy: 0.51
F1: 0.5110

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: 0.003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6977	1.0	50	0.6931	0.53	0.5242
0.6925	2.0	100	0.6931	0.45	0.4514
0.695	3.0	150	0.6931	0.61	0.6085
0.6982	4.0	200	0.6931	0.44	0.4200
0.699	5.0	250	0.6931	0.63	0.6285
0.6962	6.0	300	0.6931	0.51	0.5062
0.6918	7.0	350	0.6931	0.39	0.3893
0.6983	8.0	400	0.6931	0.51	0.5110

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.1
Pytorch 2.1.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: cc-by-sa-4.0
Created: May 21, 2024
Updated: May 21, 2024