stance_baseline_v3

iTroned/stance_baseline_v3

stance_baseline_v3 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

Access

Public

Updated May 18, 2025

Parameters

372M

11.9 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: f0a63ada

Model card

From the Hugging Face model README

stance_baseline_v3

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

Loss: 1.7193
Accuracy Stance: 0.6689
F1 Macro Stance: 0.4543
F1 Weighted Stance: 0.6476
F1 Macro Total: 0.4543
F1 Weighted Total: 0.6476

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	1.0642	0.4189	0.2040	0.2589	0.2040	0.2589
No log	2.0	80	1.0381	0.4189	0.1968	0.2474	0.1968	0.2474
No log	3.0	120	1.0219	0.4189	0.1968	0.2474	0.1968	0.2474
No log	4.0	160	1.0082	0.4932	0.3289	0.4549	0.3289	0.4549
No log	5.0	200	0.9815	0.5473	0.3761	0.5293	0.3761	0.5293
No log	6.0	240	0.9725	0.5743	0.3877	0.5531	0.3877	0.5531
No log	7.0	280	0.9607	0.6216	0.3949	0.5701	0.3949	0.5701
No log	8.0	320	0.9654	0.5946	0.4179	0.5941	0.4179	0.5941
No log	9.0	360	1.0517	0.6216	0.3984	0.5760	0.3984	0.5760
No log	10.0	400	1.0698	0.6284	0.4185	0.6026	0.4185	0.6026
No log	11.0	440	1.1862	0.6554	0.4445	0.6340	0.4445	0.6340
No log	12.0	480	1.3383	0.6419	0.4357	0.6237	0.4357	0.6237
0.7445	13.0	520	1.5536	0.6216	0.4219	0.6064	0.4219	0.6064
0.7445	14.0	560	1.6323	0.6554	0.4444	0.6347	0.4444	0.6347
0.7445	15.0	600	1.7193	0.6689	0.4543	0.6476	0.4543	0.6476
0.7445	16.0	640	1.8830	0.6486	0.4372	0.6248	0.4372	0.6248
0.7445	17.0	680	1.8240	0.6149	0.4266	0.6111	0.4266	0.6111
0.7445	18.0	720	2.0342	0.6419	0.4338	0.6217	0.4338	0.6217
0.7445	19.0	760	1.9920	0.6351	0.4379	0.6263	0.4379	0.6263
0.7445	20.0	800	2.0674	0.6486	0.4430	0.6338	0.4430	0.6338

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