lora_fine_tuned_cb_sloroberta

lenatr99/lora_fine_tuned_cb_sloroberta

lora_fine_tuned_cb_sloroberta is a machine learning model from lenatr99. 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 23, 2024
Updated: May 23, 2024
SHA: 072b67cd

Base models

EMBEDDIA/sloberta

Model card

From the Hugging Face model README

lora_fine_tuned_cb_sloroberta

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

Loss: 1.4857
Accuracy: 0.3182
F1: 0.1536

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
0.8917	3.5714	50	1.2659	0.3182	0.1536
0.7167	7.1429	100	1.4722	0.3182	0.1536
0.7436	10.7143	150	1.4516	0.3182	0.1536
0.6926	14.2857	200	1.4899	0.3182	0.1536
0.7165	17.8571	250	1.4917	0.3182	0.1536
0.7161	21.4286	300	1.4901	0.3182	0.1536
0.6938	25.0	350	1.4871	0.3182	0.1536
0.7145	28.5714	400	1.4857	0.3182	0.1536

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: cc-by-sa-4.0
Created: May 23, 2024
Updated: May 23, 2024