sapect_complaint_spanbert – AI Model by zera09 | AlphaNeural AI

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zera09/
sapect_complaint_spanbert

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text-classification

generated_from_trainer

SpanBERT/spanbert-large-cased

autotrain_compatible

endpoints_compatible

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sapect_complaint_spanbert

This model is a fine-tuned version of SpanBERT/spanbert-large-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1905
F1: 0.7365
Roc Auc: 0.8250
Accuracy: 0.5052

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.284	1.0	582	0.2261	0.6543	0.7733	0.3720
0.2063	2.0	1164	0.1965	0.7113	0.8003	0.4338
0.1822	3.0	1746	0.1935	0.7197	0.8062	0.4416
0.1632	4.0	2328	0.1918	0.7325	0.8210	0.4897
0.1408	5.0	2910	0.1905	0.7365	0.8250	0.5052

Framework versions

Transformers 4.41.1
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1