stance_baseline_v4_2

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

• Loss: 2.3121
• Accuracy Stance: 0.7410
• F1 Macro Stance: 0.6491
• F1 Weighted Stance: 0.7479
• F1 Macro Total: 0.6491
• F1 Weighted Total: 0.7479

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
0.9878	1.0	969	0.8189	0.7410	0.5219	0.6981	0.5219	0.6981
0.8715	2.0	1938	0.9607	0.7246	0.5083	0.6808	0.5083	0.6808
0.7929	3.0	2907	1.2050	0.7344	0.5977	0.7204	0.5977	0.7204
0.7562	4.0	3876	1.6386	0.7410	0.6427	0.7316	0.6427	0.7316
0.7325	5.0	4845	1.9285	0.7443	0.6404	0.7401	0.6404	0.7401
0.4726	6.0	5814	2.5807	0.6787	0.5837	0.6838	0.5837	0.6838
0.3447	7.0	6783	2.3121	0.7410	0.6491	0.7479	0.6491	0.7479
0.2651	8.0	7752	2.9776	0.7115	0.6061	0.7040	0.6061	0.7040
0.1876	9.0	8721	2.8039	0.7410	0.6312	0.7337	0.6312	0.7337
0.0898	10.0	9690	3.3201	0.7279	0.6202	0.7235	0.6202	0.7235
0.0922	11.0	10659	4.1444	0.6689	0.5908	0.6697	0.5908	0.6697
0.0629	12.0	11628	3.5009	0.7279	0.6226	0.7205	0.6226	0.7205

Framework versions

• Transformers 4.50.2
• Pytorch 2.6.0+cu124
• Datasets 3.0.1
• Tokenizers 0.21.1