loha_fine_tuned_rte_sloberta

anzeo/loha_fine_tuned_rte_sloberta

loha_fine_tuned_rte_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 22, 2024
Updated: May 22, 2024
SHA: f304f792

Base models

EMBEDDIA/sloberta

Model card

From the Hugging Face model README

loha_fine_tuned_rte_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: 0.6918
Accuracy: 0.6207
F1: 0.6179

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: 1e-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
0.7008	1.7241	50	0.6873	0.5862	0.4333
0.6935	3.4483	100	0.6873	0.5862	0.4333
0.6949	5.1724	150	0.6907	0.5862	0.4854
0.6941	6.8966	200	0.6923	0.5862	0.5862
0.6956	8.6207	250	0.6918	0.6207	0.6179
0.6917	10.3448	300	0.6922	0.5862	0.5862
0.6914	12.0690	350	0.6920	0.6207	0.6179
0.6901	13.7931	400	0.6918	0.6207	0.6179

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: cc-by-sa-4.0
Created: May 22, 2024
Updated: May 22, 2024