bert-finetuned-sem_eval-english – AI Model by amitkayal | AlphaNeural AI

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amitkayal/
bert-finetuned-sem_eval-english

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text-classification

generated_from_trainer

sem_eval_2018_task_1

autotrain_compatible

endpoints_compatible

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bert-finetuned-sem_eval-english

This model is a fine-tuned version of bert-base-uncased on the sem_eval_2018_task_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.3131
F1: 0.7114
Roc Auc: 0.8046
Accuracy: 0.2810

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
0.4067	1.0	855	0.3205	0.6756	0.7766	0.2709
0.2828	2.0	1710	0.3062	0.7058	0.7973	0.3014
0.239	3.0	2565	0.3122	0.7100	0.8038	0.2810
0.2145	4.0	3420	0.3131	0.7114	0.8046	0.2810
0.1888	5.0	4275	0.3167	0.7096	0.8022	0.2844

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1