stance_baseline_v3_no_hs

iTroned/stance_baseline_v3_no_hs

stance_baseline_v3_no_hs is a machine learning model from iTroned. 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 transformers.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

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Public

Updated May 18, 2025

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372M

14.9 GB on disk

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Hugging Face

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At a glance

Library: transformers
Access: Public
Created: May 18, 2025
Updated: May 18, 2025
SHA: 85bbf03d

Model card

From the Hugging Face model README

stance_baseline_v3_no_hs

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

Loss: 1.5660
Accuracy Stance: 0.6486
F1 Macro Stance: 0.5062
F1 Weighted Stance: 0.6487
F1 Macro Total: 0.5062
F1 Weighted Total: 0.6487

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: 6e-06
train_batch_size: 4
eval_batch_size: 4
seed: 1337
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Stance	F1 Macro Stance	F1 Weighted Stance	F1 Macro Total	F1 Weighted Total
No log	1.0	40	1.0524	0.4189	0.1968	0.2474	0.1968	0.2474
No log	2.0	80	1.0348	0.4189	0.1968	0.2474	0.1968	0.2474
No log	3.0	120	1.0255	0.4189	0.1968	0.2474	0.1968	0.2474
No log	4.0	160	1.0130	0.4189	0.1968	0.2474	0.1968	0.2474
No log	5.0	200	0.9886	0.5338	0.3664	0.5145	0.3664	0.5145
No log	6.0	240	0.9873	0.6014	0.3911	0.5627	0.3911	0.5627
No log	7.0	280	0.9706	0.6081	0.4024	0.5774	0.4024	0.5774
No log	8.0	320	0.9717	0.6419	0.4297	0.6149	0.4297	0.6149
No log	9.0	360	1.0853	0.6014	0.3888	0.5616	0.3888	0.5616
No log	10.0	400	1.0963	0.6351	0.4706	0.6179	0.4706	0.6179
No log	11.0	440	1.1777	0.6554	0.4908	0.6413	0.4908	0.6413
No log	12.0	480	1.2402	0.6622	0.4559	0.6499	0.4559	0.6499
0.7077	13.0	520	1.4222	0.6554	0.4501	0.6426	0.4501	0.6426
0.7077	14.0	560	1.4854	0.6554	0.4501	0.6426	0.4501	0.6426
0.7077	15.0	600	1.5660	0.6486	0.5062	0.6487	0.5062	0.6487
0.7077	16.0	640	1.6567	0.6689	0.5004	0.6580	0.5004	0.6580
0.7077	17.0	680	1.7668	0.6216	0.4593	0.6256	0.4593	0.6256
0.7077	18.0	720	1.7738	0.6284	0.5002	0.6410	0.5002	0.6410
0.7077	19.0	760	1.8503	0.6014	0.4831	0.6275	0.4831	0.6275
0.7077	20.0	800	1.8763	0.6284	0.4890	0.6468	0.4890	0.6468

Framework versions

Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.0.1
Tokenizers 0.21.1

Library: transformers
Created: May 18, 2025
Updated: May 18, 2025