bert-base-swedish-cased-new-finetuned-augmentation-finetuned-augmentation – AI Model by sercetexam9 | AlphaNeural AI

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bert-base-swedish-cased-new-finetuned-augmentation-finetuned-augmentation

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sercetexam9/bert-base-swedish-cased-new-finetuned-augmentation-finetuned-augmentation

autotrain_compatible

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bert-base-swedish-cased-new-finetuned-augmentation-finetuned-augmentation

This model is a fine-tuned version of sercetexam9/bert-base-swedish-cased-new-finetuned-augmentation-finetuned-augmentation on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1083
F1: 0.8149
Roc Auc: 0.8944
Accuracy: 0.8272

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.0385	1.0	129	0.1442	0.7858	0.8698	0.7767
0.0558	2.0	258	0.1083	0.8149	0.8944	0.8272
0.0504	3.0	387	0.1281	0.7825	0.8759	0.7981
0.0258	4.0	516	0.1226	0.7888	0.8814	0.8194
0.02	5.0	645	0.1211	0.7957	0.8891	0.8194
0.0116	6.0	774	0.1326	0.7629	0.8833	0.8136

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0