lora_fine_tuned_boolq_googlemt_sloberta

tjasad/lora_fine_tuned_boolq_googlemt_sloberta

lora_fine_tuned_boolq_googlemt_sloberta is a machine learning model from tjasad. 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 18, 2024
Updated: May 18, 2024
SHA: 7f3c716e

Base models

EMBEDDIA/sloberta

Model card

From the Hugging Face model README

lora_fine_tuned_boolq_googlemt_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: 0.6642
Accuracy: 0.6217
F1: 0.4767

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: 2e-05
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
0.6841	0.0424	50	0.6647	0.6217	0.4767
0.6685	0.0848	100	0.6632	0.6217	0.4767
0.6944	0.1272	150	0.6639	0.6217	0.4767
0.6581	0.1696	200	0.6632	0.6217	0.4767
0.6625	0.2120	250	0.6642	0.6217	0.4767
0.6532	0.2545	300	0.6661	0.6217	0.4767
0.6741	0.2969	350	0.6645	0.6217	0.4767
0.6852	0.3393	400	0.6642	0.6217	0.4767

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: cc-by-sa-4.0
Created: May 18, 2024
Updated: May 18, 2024