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luissattelmayer/
nli-stance-finetuning-laurer

Name: nli-stance-finetuning-laurer
Availability: InStock

generated_from_trainer

mlburnham/Political_DEBATE_large_v1.0

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nli-stance-finetuning-laurer

This model is a fine-tuned version of mlburnham/Political_DEBATE_large_v1.0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0075
Accuracy: 0.8140
F1 Macro: 0.7763
Accuracy Balanced: 0.7736
F1 Micro: 0.8140
Precision Macro: 0.8120
Recall Macro: 0.7736
Precision Micro: 0.8140
Recall Micro: 0.8140

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: 4
eval_batch_size: 10
seed: 1234
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.25
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Accuracy Balanced	F1 Micro	Precision Macro	Recall Macro	Precision Micro	Recall Micro
0.3663	1.0	538	1.0075	0.8140	0.7763	0.7736	0.8140	0.8120	0.7736	0.8140	0.8140
0.3854	2.0	1076	1.1733	0.7326	0.6903	0.7285	0.7326	0.6831	0.7285	0.7326	0.7326
0.1758	3.0	1614	1.4595	0.7326	0.6823	0.7215	0.7326	0.6760	0.7215	0.7326	0.7326
0.0743	4.0	2152	1.6271	0.7442	0.6692	0.6851	0.7442	0.6634	0.6851	0.7442	0.7442
0.0343	5.0	2690	1.7175	0.7326	0.6575	0.6750	0.7326	0.6531	0.6750	0.7326	0.7326

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

luissattelmayer/nli-stance-finetuning-laurer

nli-stance-finetuning-laurer

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

luissattelmayer/
nli-stance-finetuning-laurer